2020 / 9 / 10

Date	Title	Links
2020-09-09	Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games	Abstract | PDF
2020-09-09	Impact of News on the Commodity Market: Dataset and Results	Abstract | PDF
2020-09-08	Quantifying the Causal Effects of Conversational Tendencies	Abstract | PDF
2020-09-08	Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care	Abstract | PDF
2020-09-07	Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data	Abstract | PDF
2020-09-07	Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis	Abstract | PDF
2020-09-07	Active Learning of Causal Structures with Deep Reinforcement Learning	Abstract | PDF
2020-09-06	Discovering Reliable Causal Rules	Abstract | PDF
2020-09-06	Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality	Abstract | PDF
2020-09-06	Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback	Abstract | PDF
2020-06-22	A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model	Abstract | PDF
2020-06-22	Provably Efficient Causal Reinforcement Learning with Confounded Observational Data	Abstract | PDF
2020-06-22	ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion	Abstract | PDF
2020-06-22	A polynomial-time algorithm for learning nonparametric causal graphs	Abstract | PDF
2020-06-20	Counterfactually Guided Policy Transfer in Clinical Settings	Abstract | PDF
2020-06-20	Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org	Abstract | PDF
2020-06-19	Valid Causal Inference with (Some) Invalid Instruments	Abstract | PDF
2020-06-18	Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data	Abstract | PDF
2020-06-18	Learning Invariant Representations for Reinforcement Learning without Reconstruction	Abstract | PDF
2020-06-18	Pre-trained Language Models as Symbolic Reasoners over Knowledge?	Abstract | PDF
2020-06-17	Head2Head++: Deep Facial Attributes Re-Targeting	Abstract | PDF
2020-06-17	TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations	Abstract | PDF
2020-06-17	LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments	Abstract | PDF
2020-06-17	Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context	Abstract | PDF
2020-06-17	Adaptive, Rate-Optimal Testing in Instrumental Variables Models	Abstract | PDF
2020-06-16	Isometric Graph Neural Networks	Abstract | PDF
2020-06-16	Causal inference of brain connectivity from fMRI with $ψ$-Learning Incorporated Linear non-Gaussian Acyclic Model ($ψ$-LiNGAM)	Abstract | PDF
2020-06-16	A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence	Abstract | PDF
2020-06-16	Cogradient Descent for Bilinear Optimization	Abstract | PDF
2020-06-16	Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks	Abstract | PDF
2020-06-16	On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models	Abstract | PDF
2020-06-16	Causal Knowledge Extraction from Scholarly Papers in Social Sciences	Abstract | PDF
2020-06-15	Causal intersectionality for fair ranking	Abstract | PDF
2020-06-15	Towards practical differentially private causal graph discovery	Abstract | PDF
2020-06-15	COT-GAN: Generating Sequential Data via Causal Optimal Transport	Abstract | PDF
2020-06-15	Causal Inference with Deep Causal Graphs	Abstract | PDF
2020-06-15	p-d-Separation -- A Concept for Expressing Dependence/Independence Relations in Causal Networks	Abstract | PDF
2020-06-14	Fairness Under Feature Exemptions: Counterfactual and Observational Measures	Abstract | PDF
2020-06-14	Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification	Abstract | PDF
2020-06-14	Is Independence all you need? On the Generalization of Representations Learned from Correlated Data	Abstract | PDF
2020-06-14	Continual General Chunking Problem and SyncMap	Abstract | PDF
2020-06-14	Structural Autoencoders Improve Representations for Generation and Transfer	Abstract | PDF
2020-06-14	Dynamic Window-level Granger Causality of Multi-channel Time Series	Abstract | PDF
2020-06-14	Survival Analysis meets Counterfactual Inference	Abstract | PDF
2020-06-13	Modelling High-Level Mathematical Reasoning in Mechanised Declarative Proofs	Abstract | PDF
2020-06-13	Synthetic Interventions	Abstract | PDF
2020-06-13	Faster MCMC for Gaussian Latent Position Network Models	Abstract | PDF
2020-06-13	Risk Variance Penalization: From Distributional Robustness to Causality	Abstract | PDF
2020-06-12	Uncertainty Quantification for Inferring Hawkes Networks	Abstract | PDF
2020-06-12	Domain Generalization using Causal Matching	Abstract | PDF
2020-06-12	Learning Causal Models Online	Abstract | PDF
2020-06-12	Formalizing Falsification for Theories of Consciousness Across Computational Hierarchies	Abstract | PDF
2020-06-12	Targeting Learning: Robust Statistics for Reproducible Research	Abstract | PDF
2020-06-12	Minimax Estimation of Conditional Moment Models	Abstract | PDF
2020-06-12	Learning to Communicate Using Counterfactual Reasoning	Abstract | PDF
2020-06-12	Learning Decomposed Representation for Counterfactual Inference	Abstract | PDF
2020-06-11	Getting a CLUE: A Method for Explaining Uncertainty Estimates	Abstract | PDF
2020-06-11	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach	Abstract | PDF
2020-06-11	Query Training: Learning and inference for directed and undirected graphical models	Abstract | PDF
2020-06-11	Deep Structural Causal Models for Tractable Counterfactual Inference	Abstract | PDF
2020-06-11	Learning Individually Inferred Communication for Multi-Agent Cooperation	Abstract | PDF
2020-06-11	A Class of Algorithms for General Instrumental Variable Models	Abstract | PDF
2020-06-11	Conformal Inference of Counterfactuals and Individual Treatment Effects	Abstract | PDF
2020-06-10	Fair Data Integration	Abstract | PDF
2020-06-10	Higher-order interactions in statistical physics and machine learning: A non-parametric solution to the inverse problem	Abstract | PDF
2020-06-10	Structure Learning for Cyclic Linear Causal Models	Abstract | PDF
2020-06-10	Gradient Flows for Regularized Stochastic Control Problems	Abstract | PDF
2020-06-10	Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders	Abstract | PDF
2020-06-10	Low Rank Directed Acyclic Graphs and Causal Structure Learning	Abstract | PDF
2020-06-10	Active Invariant Causal Prediction: Experiment Selection through Stability	Abstract | PDF
2020-06-10	Regret Minimization for Causal Inference on Large Treatment Space	Abstract | PDF
2020-06-09	Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning	Abstract | PDF
2020-06-09	Re-evaluating phoneme frequencies	Abstract | PDF
2020-06-09	The Tragedy of the AI Commons	Abstract | PDF
2020-06-09	Stable Prediction via Leveraging Seed Variable	Abstract | PDF
2020-06-08	Clustering Causal Additive Noise Models	Abstract | PDF
2020-06-08	Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects	Abstract | PDF
2020-06-08	Supervised Whole DAG Causal Discovery	Abstract | PDF
2020-06-08	A non-causal FFTNet architecture for speech enhancement	Abstract | PDF
2020-06-08	Balance-Subsampled Stable Prediction	Abstract | PDF
2020-06-08	Counterfactual VQA: A Cause-Effect Look at Language Bias	Abstract | PDF
2020-06-08	From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations	Abstract | PDF
2020-06-07	Ensemble Learning with Statistical and Structural Models	Abstract | PDF
2020-06-07	Sophisticated Inference	Abstract | PDF
2020-06-06	Identifying Causal Structure in Dynamical Systems	Abstract | PDF
2020-06-05	Self-Supervised Encoder for Fault Prediction in Electrochemical Cells	Abstract | PDF
2020-06-05	Sparsified Linear Programming for Zero-Sum Equilibrium Finding	Abstract | PDF
2020-06-05	From Checking to Inference: Actual Causality Computations as Optimization Problems	Abstract | PDF
2020-06-05	Parallel ensemble methods for causal direction inference	Abstract | PDF
2020-06-04	The effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia	Abstract | PDF
2020-06-03	Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains	Abstract | PDF
2020-06-03	Explaining The Behavior Of Black-Box Prediction Algorithms With Causal Learning	Abstract | PDF
2020-06-02	What's Sex Got To Do With Fair Machine Learning?	Abstract | PDF
2020-06-02	Learning Opinion Dynamics From Social Traces	Abstract | PDF
2020-06-02	Sparse Cholesky covariance parametrization for recovering latent structure in ordered data	Abstract | PDF
2020-06-01	Aligning Faithful Interpretations with their Social Attribution	Abstract | PDF
2020-06-01	Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE)	Abstract | PDF
2020-06-01	When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions	Abstract | PDF
2020-06-01	Quantum Accelerated Estimation of Algorithmic Information	Abstract | PDF
2020-06-01	Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online	Abstract | PDF
2020-05-31	CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection	Abstract | PDF
2020-05-31	Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning	Abstract | PDF
2020-05-29	ExplainIt: Explainable Review Summarization with Opinion Causality Graphs	Abstract | PDF
2020-05-29	Overview of Scanner Invariant Representations	Abstract | PDF
2020-05-29	Learning LWF Chain Graphs: A Markov Blanket Discovery Approach	Abstract | PDF
2020-05-29	Bayesian network structure learning with causal effects in the presence of latent variables	Abstract | PDF
2020-05-28	C-Wars: The Unfolding Argument Strikes Back -- A Reply to 'Falsification & Consciousness'	Abstract | PDF
2020-05-27	Automated Diagram Generation to Build Understanding and Usability	Abstract | PDF
2020-05-27	CausaLM: Causal Model Explanation Through Counterfactual Language Models	Abstract | PDF
2020-05-27	copent: Estimating Copula Entropy in R	Abstract | PDF
2020-05-27	On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder	Abstract | PDF
2020-05-27	Counterfactual Detection meets Transfer Learning	Abstract | PDF
2020-05-27	Learning LWF Chain Graphs: an Order Independent Algorithm	Abstract | PDF
2020-05-26	Towards intervention-centric causal reasoning in learning agents	Abstract | PDF
2020-05-26	Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean	Abstract | PDF
2020-05-26	Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)	Abstract | PDF
2020-05-25	Fair Policy Targeting	Abstract | PDF
2020-05-25	Non-cooperative Multi-agent Systems with Exploring Agents	Abstract | PDF
2020-05-25	Demoting Racial Bias in Hate Speech Detection	Abstract | PDF
2020-05-25	NILE : Natural Language Inference with Faithful Natural Language Explanations	Abstract | PDF
2020-05-25	Learning to Charge RF-Energy Harvesting Devices in WiFi Networks	Abstract | PDF
2020-05-24	Causal Bayesian Optimization	Abstract | PDF
2020-05-24	Efficient Intervention Design for Causal Discovery with Latents	Abstract | PDF
2020-05-24	Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models	Abstract | PDF
2020-05-23	Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders	Abstract | PDF
2020-05-23	Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation	Abstract | PDF
2020-05-22	Nonparametric inverse probability weighted estimators based on the highly adaptive lasso	Abstract | PDF
2020-05-22	Style Normalization and Restitution for Generalizable Person Re-identification	Abstract | PDF
2020-05-21	Correlated Mixed Membership Modeling of Somatic Mutations	Abstract | PDF
2020-05-21	Automatic Detection of Influential Actors in Disinformation Networks	Abstract | PDF
2020-05-21	Accelerated Convergence for Counterfactual Learning to Rank	Abstract | PDF
2020-05-21	Few-shot Compositional Font Generation with Dual Memory	Abstract | PDF
2020-05-21	Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation	Abstract | PDF
2020-05-21	Studying Product Competition Using Representation Learning	Abstract | PDF
2020-05-21	Principal Fairness for Human and Algorithmic Decision-Making	Abstract | PDF
2020-05-20	InfoScrub: Towards Attribute Privacy by Targeted Obfuscation	Abstract | PDF
2020-05-20	Causality, Responsibility and Blame in Team Plans	Abstract | PDF
2020-05-20	Combining Experts' Causal Judgments	Abstract | PDF
2020-05-20	Combining the Causal Judgments of Experts with Possibly Different Focus Areas	Abstract | PDF
2020-05-19	Staying True to Your Word: (How) Can Attention Become Explanation?	Abstract | PDF
2020-05-18	An Analysis of the Adaptation Speed of Causal Models	Abstract | PDF
2020-05-18	Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data	Abstract | PDF
2020-05-18	Causal Feature Learning for Utility-Maximizing Agents	Abstract | PDF
2020-05-18	Learning Adjustment Sets from Observational and Limited Experimental Data	Abstract | PDF
2020-05-18	Necessary and sufficient conditions for causal feature selection in time series with latent common causes	Abstract | PDF
2020-05-18	SemEval-2020 Task 5: Detecting Counterfactuals by Disambiguation	Abstract | PDF
2020-05-16	Causal Modeling of Twitter Activity During COVID-19	Abstract | PDF
2020-05-16	Glottal Source Estimation using an Automatic Chirp Decomposition	Abstract | PDF
2020-05-16	Learning Joint Articulatory-Acoustic Representations with Normalizing Flows	Abstract | PDF
2020-05-13	When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes	Abstract | PDF
2020-05-12	Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic	Abstract | PDF
2020-05-12	A theoretical treatment of conditional independence testing under Model-X	Abstract | PDF
2020-05-11	Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation	Abstract | PDF
2020-05-11	Maximizing Information Gain in Partially Observable Environments via Prediction Reward	Abstract | PDF
2020-05-11	Synaptic Learning with Augmented Spikes	Abstract | PDF
2020-05-10	The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes	Abstract | PDF
2020-05-10	Chirp Complex Cepstrum-based Decomposition for Asynchronous Glottal Analysis	Abstract | PDF
2020-05-10	Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning	Abstract | PDF
2020-05-10	Maximal Algorithmic Caliber and Algorithmic Causal Network Inference: General Principles of Real-World General Intelligence?	Abstract | PDF
2020-05-08	Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images	Abstract | PDF
2020-05-08	Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding	Abstract | PDF
2020-05-07	FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization	Abstract | PDF
2020-05-07	Learning Robust Models for e-Commerce Product Search	Abstract | PDF
2020-05-07	Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video	Abstract | PDF
2020-05-07	Distributional Robustness of K-class Estimators and the PULSE	Abstract | PDF
2020-05-06	Functional Decision Theory in an Evolutionary Environment	Abstract | PDF
2020-05-06	Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders	Abstract | PDF
2020-05-06	Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex	Abstract | PDF
2020-05-05	A generative adversarial network approach to calibration of local stochastic volatility models	Abstract | PDF
2020-05-05	A Ladder of Causal Distances	Abstract | PDF
2020-05-05	Effect of The Latent Structure on Clustering with GANs	Abstract | PDF
2020-05-05	Global explanations for discovering bias in data	Abstract | PDF
2020-05-04	Designing Data Augmentation for Simulating Interventions	Abstract | PDF
2020-05-04	Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?	Abstract | PDF
2020-05-04	A Non-equilibrium Thermodynamic Framework of Consciousness	Abstract | PDF
2020-05-04	A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing	Abstract | PDF
2020-05-04	Off-the-shelf deep learning is not enough: parsimony, Bayes and causality	Abstract | PDF
2020-05-04	LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees	Abstract | PDF
2020-05-04	Human Strategic Steering Improves Performance of Interactive Optimization	Abstract | PDF
2020-05-03	Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models	Abstract | PDF
2020-05-03	Multivariate Time Series Forecasting with Transfer Entropy Graph	Abstract | PDF
2020-05-03	A Causal View on Robustness of Neural Networks	Abstract | PDF
2020-05-03	Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints	Abstract | PDF
2020-05-02	A Simple Language Model for Task-Oriented Dialogue	Abstract | PDF
2020-05-02	ESPRIT: Explaining Solutions to Physical Reasoning Tasks	Abstract | PDF
2020-05-02	Obtaining Faithful Interpretations from Compositional Neural Networks	Abstract | PDF
2020-05-02	On Faithfulness and Factuality in Abstractive Summarization	Abstract | PDF
2020-05-01	Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates	Abstract | PDF
2020-05-01	Evaluating and Aggregating Feature-based Model Explanations	Abstract | PDF
2020-05-01	Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles	Abstract | PDF
2020-05-01	XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning	Abstract | PDF
2020-04-30	Learning to Faithfully Rationalize by Construction	Abstract | PDF
2020-04-30	Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?	Abstract | PDF
2020-04-30	On Deep Instrumental Variables Estimate	Abstract | PDF
2020-04-30	PreCNet: Next Frame Video Prediction Based on Predictive Coding	Abstract | PDF
2020-04-30	Self-Supervised and Controlled Multi-Document Opinion Summarization	Abstract | PDF
2020-04-30	Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series	Abstract | PDF
2020-04-30	Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models	Abstract | PDF
2020-04-30	Logic2Text: High-Fidelity Natural Language Generation from Logical Forms	Abstract | PDF
2020-04-30	Indirect Identification of Psychosocial Risks from Natural Language	Abstract | PDF
2020-04-29	Counterfactual Off-Policy Training for Neural Response Generation	Abstract | PDF
2020-04-29	ToTTo: A Controlled Table-To-Text Generation Dataset	Abstract | PDF
2020-04-29	WoodFisher: Efficient Second-Order Approximation for Neural Network Compression	Abstract | PDF
2020-04-29	Towards Transparent and Explainable Attention Models	Abstract | PDF
2020-04-29	Image Morphing with Perceptual Constraints and STN Alignment	Abstract | PDF
2020-04-29	Multi-Decoder RNN Autoencoder Based on Variational Bayes Method	Abstract | PDF
2020-04-28	Towards Prediction Explainability through Sparse Communication	Abstract | PDF
2020-04-28	Survival Analysis Using a 5-Step Stratified Testing and Amalgamation Routine in Randomized Clinical Trials	Abstract | PDF
2020-04-28	Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation	Abstract | PDF
2020-04-28	MultiMBNN: Matched and Balanced Causal Inference with Neural Networks	Abstract | PDF
2020-04-28	An ASP-Based Approach to Counterfactual Explanations for Classification	Abstract | PDF
2020-04-27	Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models	Abstract | PDF
2020-04-27	Towards causal generative scene models via competition of experts	Abstract | PDF
2020-04-27	Structural Regularization	Abstract | PDF
2020-04-26	Detect Language of Transliterated Texts	Abstract | PDF
2020-04-26	Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias	Abstract | PDF
2020-04-25	Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand	Abstract | PDF
2020-04-24	Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion	Abstract | PDF
2020-04-24	A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification	Abstract | PDF
2020-04-24	A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation	Abstract | PDF
2020-04-24	A Causal Modeling Framework with Stochastic Confounders	Abstract | PDF
2020-04-23	Multi-Objective Counterfactual Explanations	Abstract | PDF
2020-04-22	Efficient adjustment sets in causal graphical models with hidden variables	Abstract | PDF
2020-04-22	Counterfactual Learning of Continuous Stochastic Policies	Abstract | PDF
2020-04-21	Machine learning for causal inference: on the use of cross-fit estimators	Abstract | PDF
2020-04-21	Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks	Abstract | PDF
2020-04-21	Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects	Abstract | PDF
2020-04-21	Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing	Abstract | PDF
2020-04-20	Causal network learning with non-invertible functional relationships	Abstract | PDF
2020-04-20	Causality-aware counterfactual confounding adjustment for feature representations learned by deep models: with an application to image classification tasks	Abstract | PDF
2020-04-20	Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning	Abstract | PDF
2020-04-20	Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense	Abstract | PDF
2020-04-20	Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision	Abstract | PDF
2020-04-18	CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models	Abstract | PDF
2020-04-17	Unsupervised Discovery of Implicit Gender Bias	Abstract | PDF
2020-04-17	Causal Inference in Case-Control Studies	Abstract | PDF
2020-04-16	Spectral Learning on Matrices and Tensors	Abstract | PDF
2020-04-16	SCOUT: Self-aware Discriminant Counterfactual Explanations	Abstract | PDF
2020-04-16	Do sequence-to-sequence VAEs learn global features of sentences?	Abstract | PDF
2020-04-16	Explainable Image Classification with Evidence Counterfactual	Abstract | PDF
2020-04-15	A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	Abstract | PDF
2020-04-15	Minimizing Interference and Selection Bias in Network Experiment Design	Abstract | PDF
2020-04-14	Contrastive Examples for Addressing the Tyranny of the Majority	Abstract | PDF
2020-04-13	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits	Abstract | PDF
2020-04-12	When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans	Abstract | PDF
2020-04-12	AMR Parsing via Graph-Sequence Iterative Inference	Abstract | PDF
2020-04-12	Cross-domain Correspondence Learning for Exemplar-based Image Translation	Abstract | PDF
2020-04-12	Reinforcement Learning via Reasoning from Demonstration	Abstract | PDF
2020-04-11	Ivy: Instrumental Variable Synthesis for Causal Inference	Abstract | PDF
2020-04-10	Estimating Individual Treatment Effects through Causal Populations Identification	Abstract | PDF
2020-04-10	Fully Automatic Electrocardiogram Classification System based on Generative Adversarial Network with Auxiliary Classifier	Abstract | PDF
2020-04-10	Full Law Identification In Graphical Models Of Missing Data: Completeness Results	Abstract | PDF
2020-04-09	Object classification from randomized EEG trials	Abstract | PDF
2020-04-09	Violent music vs violence and music: Drill rap and violent crime in London	Abstract | PDF
2020-04-09	On Anomaly Interpretation via Shapley Values	Abstract | PDF
2020-04-09	A category theoretical argument for causal inference	Abstract | PDF
2020-04-08	Generating Counter Narratives against Online Hate Speech: Data and Strategies	Abstract | PDF
2020-04-07	Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?	Abstract | PDF
2020-04-07	Faithful Embeddings for Knowledge Base Queries	Abstract | PDF
2020-04-07	Causal Relational Learning	Abstract | PDF
2020-04-07	Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation	Abstract | PDF
2020-04-07	Repulsive Mixture Models of Exponential Family PCA for Clustering	Abstract | PDF
2020-04-06	Probabilistic embeddings for speaker diarization	Abstract | PDF
2020-04-05	Detecting and Understanding Generalization Barriers for Neural Machine Translation	Abstract | PDF
2020-04-04	Measuring Social Biases of Crowd Workers using Counterfactual Queries	Abstract | PDF
2020-04-04	Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection	Abstract | PDF
2020-04-03	Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis	Abstract | PDF
2020-04-02	Predicting the outputs of finite networks trained with noisy gradients	Abstract | PDF
2020-04-02	Causal Inference of Script Knowledge	Abstract | PDF
2020-04-02	Identification Methods With Arbitrary Interventional Distributions as Inputs	Abstract | PDF
2020-04-02	Improving Confidence in the Estimation of Values and Norms	Abstract | PDF
2020-04-02	Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow	Abstract | PDF
2020-04-01	Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication	Abstract | PDF
2020-04-01	A theory of independent mechanisms for extrapolation in generative models	Abstract | PDF
2020-03-31	Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning	Abstract | PDF
2020-03-31	A macro agent and its actions	Abstract | PDF
2020-03-30	Can Deep Learning Recognize Subtle Human Activities?	Abstract | PDF
2020-03-30	Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation	Abstract | PDF
2020-03-30	High-dimensional mixed-frequency IV regression	Abstract | PDF
2020-03-29	Can AI help in screening Viral and COVID-19 pneumonia?	Abstract | PDF
2020-03-29	Learning Latent Causal Structures with a Redundant Input Neural Network	Abstract | PDF
2020-03-27	Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables	Abstract | PDF
2020-03-27	MCFlow: Monte Carlo Flow Models for Data Imputation	Abstract | PDF
2020-03-27	Robust Q-learning	Abstract | PDF
2020-03-27	On the role of surrogates in the efficient estimation of treatment effects with limited outcome data	Abstract | PDF
2020-03-27	Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss	Abstract | PDF
2020-03-26	Estimating Treatment Effects with Observed Confounders and Mediators	Abstract | PDF
2020-03-26	P $\approx$ NP, at least in Visual Question Answering	Abstract | PDF
2020-03-26	A Critique on the Interventional Detection of Causal Relationships	Abstract | PDF
2020-03-25	VIOLIN: A Large-Scale Dataset for Video-and-Language Inference	Abstract | PDF
2020-03-25	A general framework for causal classification	Abstract | PDF
2020-03-25	Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples	Abstract | PDF
2020-03-25	Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems	Abstract | PDF
2020-03-24	TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks	Abstract | PDF
2020-03-24	Robust and On-the-fly Dataset Denoising for Image Classification	Abstract | PDF
2020-03-23	G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes	Abstract | PDF
2020-03-23	Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM	Abstract | PDF
2020-03-21	On Information Plane Analyses of Neural Network Classifiers -- A Review	Abstract | PDF
2020-03-21	Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography	Abstract | PDF
2020-03-20	Adversarial Robustness on In- and Out-Distribution Improves Explainability	Abstract | PDF
2020-03-20	L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation	Abstract | PDF
2020-03-20	Using Counterfactual Reasoning and Reinforcement Learning for Decision-Making in Autonomous Driving	Abstract | PDF
2020-03-17	ParKCa: Causal Inference with Partially Known Causes	Abstract | PDF
2020-03-17	Fair inference on error-prone outcomes	Abstract | PDF
2020-03-16	Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning	Abstract | PDF
2020-03-15	Causality-based Explanation of Classification Outcomes	Abstract | PDF
2020-03-14	Counterfactual Samples Synthesizing for Robust Visual Question Answering	Abstract | PDF
2020-03-14	Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis	Abstract | PDF
2020-03-12	Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world	Abstract | PDF
2020-03-12	Invariant Causal Prediction for Block MDPs	Abstract | PDF
2020-03-12	Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding	Abstract | PDF
2020-03-10	Towards Clarifying the Theory of the Deconfounder	Abstract | PDF
2020-03-10	Automated discovery of a robust interatomic potential for aluminum	Abstract | PDF
2020-03-10	3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising	Abstract | PDF
2020-03-09	Transfer Reinforcement Learning under Unobserved Contextual Information	Abstract | PDF
2020-03-09	Cloth in the Wind: A Case Study of Physical Measurement through Simulation	Abstract | PDF
2020-03-09	Vector logic allows counterfactual virtualization by The Square Root of NOT	Abstract | PDF
2020-03-09	Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation	Abstract | PDF
2020-03-09	Deconfounded Image Captioning: A Causal Retrospect	Abstract | PDF
2020-03-08	Perceptual Image Super-Resolution with Progressive Adversarial Network	Abstract | PDF
2020-03-07	Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets	Abstract | PDF
2020-03-06	Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data	Abstract | PDF
2020-03-05	An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness	Abstract | PDF
2020-03-05	What went wrong and when? Instance-wise Feature Importance for Time-series Models	Abstract | PDF
2020-03-05	ViCE: Visual Counterfactual Explanations for Machine Learning Models	Abstract | PDF
2020-03-05	Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference	Abstract | PDF

2020 / 3 / 4

Date	Title	Links
2020-03-03	Explaining Groups of Points in Low-Dimensional Representations	Abstract | PDF
2020-03-03	Differentiable Causal Backdoor Discovery	Abstract | PDF
2020-03-03	Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs	Abstract | PDF
2020-03-02	BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning	Abstract | PDF
2020-03-02	Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference	Abstract | PDF
2020-03-02	Causal Transfer for Imitation Learning and Decision Making under Sensor-shift	Abstract | PDF
2020-03-02	Approximate Cross-validation: Guarantees for Model Assessment and Selection	Abstract | PDF
2020-03-01	A Study on Multimodal and Interactive Explanations for Visual Question Answering	Abstract | PDF
2020-02-29	Grounded and Controllable Image Completion by Incorporating Lexical Semantics	Abstract | PDF
2020-02-29	Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment	Abstract | PDF
2020-02-28	Causality and Robust Optimization	Abstract | PDF
2020-02-27	Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks	Abstract | PDF
2020-02-27	Visual Commonsense R-CNN	Abstract | PDF
2020-02-27	Unbiased Scene Graph Generation from Biased Training	Abstract | PDF
2020-02-27	Deep Residual-Dense Lattice Network for Speech Enhancement	Abstract | PDF
2020-02-27	Unshuffling Data for Improved Generalization	Abstract | PDF
2020-02-26	Sparse Sinkhorn Attention	Abstract | PDF
2020-02-25	Problems with Shapley-value-based explanations as feature importance measures	Abstract | PDF
2020-02-25	Causal Inference With Selectively-Deconfounded Data	Abstract | PDF
2020-02-25	CausalML: Python Package for Causal Machine Learning	Abstract | PDF
2020-02-25	MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models	Abstract | PDF
2020-02-25	Biased Stochastic Gradient Descent for Conditional Stochastic Optimization	Abstract | PDF
2020-02-25	Counterfactual fairness: removing direct effects through regularization	Abstract | PDF
2020-02-24	AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms	Abstract | PDF
2020-02-24	Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval	Abstract | PDF
2020-02-24	Towards precise causal effect estimation from data with hidden variables	Abstract | PDF
2020-02-24	Learning From Strategic Agents: Accuracy, Improvement, and Causality	Abstract | PDF
2020-02-23	A Critical View of the Structural Causal Model	Abstract | PDF
2020-02-21	Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values	Abstract | PDF
2020-02-21	On The Reasons Behind Decisions	Abstract | PDF
2020-02-20	I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models	Abstract | PDF
2020-02-20	Safe Counterfactual Reinforcement Learning	Abstract | PDF
2020-02-20	Causal Inference under Networked Interference	Abstract | PDF
2020-02-19	Stochastic Regret Minimization in Extensive-Form Games	Abstract | PDF
2020-02-19	Learning Global Transparent Models from Local Contrastive Explanations	Abstract | PDF
2020-02-18	CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods	Abstract | PDF
2020-02-18	Observational nonidentifiability, generalized likelihood and free energy	Abstract | PDF
2020-02-17	Double/Debiased Machine Learning for Dynamic Treatment Effects	Abstract | PDF
2020-02-17	Causal Feature Discovery through Strategic Modification	Abstract | PDF
2020-02-17	An ASP semantics for Constraints involving Conditional Aggregates	Abstract | PDF
2020-02-17	Wireless Power Control via Counterfactual Optimization of Graph Neural Networks	Abstract | PDF
2020-02-17	Learning Individually Fair Classifier with Causal-Effect Constraint	Abstract | PDF
2020-02-16	Performative Prediction	Abstract | PDF
2020-02-16	Convex Fairness Constrained Model Using Causal Effect Estimators	Abstract | PDF
2020-02-14	Algorithmic Recourse: from Counterfactual Explanations to Interventions	Abstract | PDF
2020-02-14	Learning models of quantum systems from experiments	Abstract | PDF
2020-02-14	Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base	Abstract | PDF
2020-02-14	Bayesian Learning of Causal Relationships for System Reliability	Abstract | PDF
2020-02-14	Deep learning of dynamical attractors from time series measurements	Abstract | PDF
2020-02-14	Transformers as Soft Reasoners over Language	Abstract | PDF
2020-02-13	Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning	Abstract | PDF
2020-02-13	Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm	Abstract | PDF
2020-02-12	Conditional Path Analysis in Singly-Connected Path Diagrams	Abstract | PDF
2020-02-12	Resolving Spurious Correlations in Causal Models of Environments via Interventions	Abstract | PDF
2020-02-12	Estimating Uncertainty Intervals from Collaborating Networks	Abstract | PDF
2020-02-12	Detect and Correct Bias in Multi-Site Neuroimaging Datasets	Abstract | PDF
2020-02-12	Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor	Abstract | PDF
2020-02-12	Convex Density Constraints for Computing Plausible Counterfactual Explanations	Abstract | PDF
2020-02-11	Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery	Abstract | PDF
2020-02-11	Invariant Risk Minimization Games	Abstract | PDF
2020-02-11	Decisions, Counterfactual Explanations and Strategic Behavior	Abstract | PDF
2020-02-11	Efficiently Learning and Sampling Interventional Distributions from Observations	Abstract | PDF
2020-02-10	Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations	Abstract | PDF
2020-02-10	Learning Stochastic Behaviour of Aggregate Data	Abstract | PDF
2020-02-10	Few-shot Domain Adaptation by Causal Mechanism Transfer	Abstract | PDF
2020-02-09	Domain Adaptation As a Problem of Inference on Graphical Models	Abstract | PDF
2020-02-08	Inference for Batched Bandits	Abstract | PDF
2020-02-08	Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials	Abstract | PDF
2020-02-07	Causally Correct Partial Models for Reinforcement Learning	Abstract | PDF
2020-02-06	Uncovering differential equations from data with hidden variables	Abstract | PDF
2020-02-06	Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation	Abstract | PDF
2020-02-06	On Geometry of Information Flow for Causal Inference	Abstract | PDF
2020-02-05	A Survey on Causal Inference	Abstract | PDF
2020-02-05	A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing	Abstract | PDF
2020-02-05	`Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees	Abstract | PDF
2020-02-04	Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952)	Abstract | PDF
2020-02-04	Fake News Detection by means of Uncertainty Weighted Causal Graphs	Abstract | PDF
2020-02-02	Safe Exploration for Optimizing Contextual Bandits	Abstract | PDF
2020-02-02	Uncertainty Weighted Causal Graphs	Abstract | PDF
2020-02-02	Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation	Abstract | PDF
2020-02-01	A Tutorial on Learning With Bayesian Networks	Abstract | PDF
2020-02-01	Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis	Abstract | PDF
2020-01-31	Testing Unsatisfiability of Constraint Satisfaction Problems via Tensor Products	Abstract | PDF
2020-01-31	Causal Structure Discovery from Distributions Arising from Mixtures of DAGs	Abstract | PDF
2020-01-30	Uncovering life-course patterns with causal discovery and survival analysis	Abstract | PDF
2020-01-30	Fictitious Play Outperforms Counterfactual Regret Minimization	Abstract | PDF
2020-01-29	On Constraint Definability in Tractable Probabilistic Models	Abstract | PDF
2020-01-29	Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations	Abstract | PDF
2020-01-29	Treatment effect estimation with disentangled latent factors	Abstract | PDF
2020-01-28	Distal Explanations for Explainable Reinforcement Learning Agents	Abstract | PDF
2020-01-28	Causal query in observational data with hidden variables	Abstract | PDF
2020-01-27	Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems	Abstract | PDF
2020-01-27	Estimating heterogeneous treatment effects with right-censored data via causal survival forests	Abstract | PDF
2020-01-27	One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency	Abstract | PDF
2020-01-26	Inference in Multi-Layer Networks with Matrix-Valued Unknowns	Abstract | PDF
2020-01-25	An Empirical Study of Person Re-Identification with Attributes	Abstract | PDF
2020-01-25	On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond	Abstract | PDF
2020-01-22	Causality based Feature Fusion for Brain Neuro-Developmental Analysis	Abstract | PDF
2020-01-22	Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization	Abstract | PDF
2020-01-21	Deceptive AI Explanations: Creation and Detection	Abstract | PDF
2020-01-21	Adequate and fair explanations	Abstract | PDF
2020-01-21	Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects	Abstract | PDF
2020-01-21	Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach	Abstract | PDF
2020-01-20	The Incentives that Shape Behaviour	Abstract | PDF
2020-01-17	Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory	Abstract | PDF
2020-01-16	Inferring Individual Level Causal Models from Graph-based Relational Time Series	Abstract | PDF
2020-01-16	Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions	Abstract | PDF
2020-01-15	AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses	Abstract | PDF
2020-01-15	Causal Discovery from Incomplete Data: A Deep Learning Approach	Abstract | PDF
2020-01-15	A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation	Abstract | PDF
2020-01-14	Learning Overlapping Representations for the Estimation of Individualized Treatment Effects	Abstract | PDF
2020-01-13	Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders	Abstract | PDF
2020-01-12	Fundamental Limits of Online Learning: An Entropic-Innovations Viewpoint	Abstract | PDF
2020-01-11	Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning	Abstract | PDF
2020-01-11	Confidence Scores Make Instance-dependent Label-noise Learning Possible	Abstract | PDF
2020-01-09	The Counterfactual $χ$-GAN	Abstract | PDF
2020-01-09	Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry	Abstract | PDF
2020-01-09	Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches	Abstract | PDF
2020-01-09	Probabilistic Reasoning across the Causal Hierarchy	Abstract | PDF
2020-01-08	Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks	Abstract | PDF
2020-01-07	Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples	Abstract | PDF
2020-01-07	Minimum entropy production in multipartite processes due to neighborhood constraints	Abstract | PDF
2020-01-07	Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method	Abstract | PDF
2020-01-06	Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging	Abstract | PDF
2020-01-04	Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment	Abstract | PDF
2020-01-02	A Loss-Function for Causal Machine-Learning	Abstract | PDF
2019-12-30	Localized Debiased Machine Learning: Efficient Estimation of Quantile Treatment Effects, Conditional Value at Risk, and Beyond	Abstract | PDF
2019-12-30	Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium	Abstract | PDF
2019-12-30	Causal-Anticausal Decomposition of Speech using Complex Cepstrum for Glottal Source Estimation	Abstract | PDF
2019-12-29	Complex Cepstrum-based Decomposition of Speech for Glottal Source Estimation	Abstract | PDF
2019-12-28	Alleviation for Gradient Exploding in GANs: Fake Can Be Real	Abstract | PDF
2019-12-28	Detection of Glottal Closure Instants from Speech Signals: a Quantitative Review	Abstract | PDF
2019-12-25	Confounder Selection via Support Intersection	Abstract | PDF
2019-12-24	A Drug Recommendation System (Dr.S) for cancer cell lines	Abstract | PDF
2019-12-23	Data-driven Discovery of Emergent Behaviors in Collective Dynamics	Abstract | PDF
2019-12-22	Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data	Abstract | PDF
2019-12-21	Deep Automodulators	Abstract | PDF
2019-12-20	When Explanations Lie: Why Many Modified BP Attributions Fail	Abstract | PDF
2019-12-19	Causal statistical modeling and calculation of distribution functions of classification features	Abstract | PDF
2019-12-19	Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation	Abstract | PDF
2019-12-19	Understanding Human Judgments of Causality	Abstract | PDF
2019-12-19	Learning a Spatio-Temporal Embedding for Video Instance Segmentation	Abstract | PDF
2019-12-18	Variable-lag Granger Causality for Time Series Analysis	Abstract | PDF
2019-12-18	Counterfactual thinking in cooperation dynamics	Abstract | PDF
2019-12-17	Causality matters in medical imaging	Abstract | PDF
2019-12-16	Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing	Abstract | PDF
2019-12-16	ITENE: Intrinsic Transfer Entropy Neural Estimator	Abstract | PDF
2019-12-15	Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data	Abstract | PDF
2019-12-13	From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)	Abstract | PDF
2019-12-13	More Efficient Off-Policy Evaluation through Regularized Targeted Learning	Abstract | PDF
2019-12-11	Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud	Abstract | PDF
2019-12-11	Fundamental Entropic Laws and $\mathcal{L}_p$ Limitations of Feedback Systems: Implications for Machine-Learning-in-the-Loop Control	Abstract | PDF
2019-12-10	Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information	Abstract | PDF
2019-12-09	Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning	Abstract | PDF
2019-12-09	MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population	Abstract | PDF
2019-12-08	Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease	Abstract | PDF
2019-12-06	Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers	Abstract | PDF
2019-12-06	Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$-Regression Counterfactual Regret Minimization	Abstract | PDF
2019-12-05	Learning undirected models via query training	Abstract | PDF
2019-12-05	Causal structure based root cause analysis of outliers	Abstract | PDF
2019-12-05	Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links	Abstract | PDF
2019-12-05	Ultrafast Photorealistic Style Transfer via Neural Architecture Search	Abstract | PDF
2019-12-05	Towards Robust Relational Causal Discovery	Abstract | PDF
2019-12-04	Learning from Interventions using Hierarchical Policies for Safe Learning	Abstract | PDF
2019-12-04	Fantastic Generalization Measures and Where to Find Them	Abstract | PDF
2019-12-04	Counterfactual Explanation Algorithms for Behavioral and Textual Data	Abstract | PDF
2019-12-03	The Comparison of Methods for Individual Treatment Effect Detection	Abstract | PDF
2019-12-03	Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian	Abstract | PDF
2019-12-03	A Hidden Variables Approach to Multilabel Logistic Regression	Abstract | PDF
2019-12-03	Value-laden Disciplinary Shifts in Machine Learning	Abstract | PDF
2019-12-02	On Distance and Kernel Measures of Conditional Independence	Abstract | PDF
2019-12-02	EMAP: Explanation by Minimal Adversarial Perturbation	Abstract | PDF
2019-12-02	Learning Bayesian networks from demographic and health survey data	Abstract | PDF
2019-12-01	Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models	Abstract | PDF
2019-11-30	Modeling Fluency and Faithfulness for Diverse Neural Machine Translation	Abstract | PDF
2019-11-30	Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations	Abstract | PDF
2019-11-28	A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients	Abstract | PDF
2019-11-27	Improving Model Robustness Using Causal Knowledge	Abstract | PDF
2019-11-27	Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles	Abstract | PDF
2019-11-26	High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework	Abstract | PDF
2019-11-25	Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning	Abstract | PDF
2019-11-25	Checking Chase Termination over Ontologies of Existential Rules with Equality	Abstract | PDF
2019-11-25	FairyTED: A Fair Rating Predictor for TED Talk Data	Abstract | PDF
2019-11-25	A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations	Abstract | PDF
2019-11-24	Algorithmic Bias in Recidivism Prediction: A Causal Perspective	Abstract | PDF
2019-11-24	Causally Denoise Word Embeddings Using Half-Sibling Regression	Abstract | PDF
2019-11-24	Causality for Machine Learning	Abstract | PDF
2019-11-24	Two Causal Principles for Improving Visual Dialog	Abstract | PDF
2019-11-22	Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution	Abstract | PDF
2019-11-22	Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality	Abstract | PDF
2019-11-22	SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction	Abstract | PDF
2019-11-21	An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada	Abstract | PDF
2019-11-21	Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis	Abstract | PDF
2019-11-21	A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity	Abstract | PDF
2019-11-21	FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis	Abstract | PDF
2019-11-20	Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models	Abstract | PDF
2019-11-20	Natural Language Generation Challenges for Explainable AI	Abstract | PDF
2019-11-20	Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications	Abstract | PDF
2019-11-20	Response Transformation and Profit Decomposition for Revenue Uplift Modeling	Abstract | PDF
2019-11-19	PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems	Abstract | PDF
2019-11-19	Two-Stream FCNs to Balance Content and Style for Style Transfer	Abstract | PDF
2019-11-19	Fair Learning-to-Rank from Implicit Feedback	Abstract | PDF
2019-11-18	TracKlinic: Diagnosis of Challenge Factors in Visual Tracking	Abstract | PDF
2019-11-18	Influence-aware Memory for Deep Reinforcement Learning	Abstract | PDF
2019-11-18	A Graph Autoencoder Approach to Causal Structure Learning	Abstract | PDF
2019-11-17	Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling	Abstract | PDF
2019-11-17	Causality-based Feature Selection: Methods and Evaluations	Abstract | PDF
2019-11-16	RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series	Abstract | PDF
2019-11-16	Generalized Maximum Causal Entropy for Inverse Reinforcement Learning	Abstract | PDF
2019-11-15	Causal inference using Bayesian non-parametric quasi-experimental design	Abstract | PDF
2019-11-15	Fair Data Adaptation with Quantile Preservation	Abstract | PDF
2019-11-15	A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging	Abstract | PDF
2019-11-15	On the computation of counterfactual explanations -- A survey	Abstract | PDF
2019-11-15	Using natural language processing to extract health-related causality from Twitter messages	Abstract | PDF
2019-11-14	Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling	Abstract | PDF
2019-11-14	Question-Conditioned Counterfactual Image Generation for VQA	Abstract | PDF
2019-11-12	Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning	Abstract | PDF
2019-11-11	Fairness through Equality of Effort	Abstract | PDF
2019-11-11	A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data	Abstract | PDF
2019-11-11	Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors	Abstract | PDF
2019-11-10	Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation	Abstract | PDF
2019-11-09	Optimal Experimental Design for Staggered Rollouts	Abstract | PDF
2019-11-09	Towards Understanding Gender Bias in Relation Extraction	Abstract | PDF
2019-11-08	ERASER: A Benchmark to Evaluate Rationalized NLP Models	Abstract | PDF
2019-11-08	A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models	Abstract | PDF
2019-11-08	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation	Abstract | PDF
2019-11-07	Accounting for Physics Uncertainty in Ultrasonic Wave Propagation using Deep Learning	Abstract | PDF
2019-11-07	Group Average Treatment Effects for Observational Studies	Abstract | PDF
2019-11-06	Towards Monitoring Parkinson's Disease Following Drug Treatment: CGP Classification of rs-MRI Data	Abstract | PDF
2019-11-06	MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems	Abstract | PDF
2019-11-06	Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems	Abstract | PDF
2019-11-06	Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding	Abstract | PDF
2019-11-05	Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples	Abstract | PDF
2019-11-05	Bias-aware model selection for machine learning of doubly robust functionals	Abstract | PDF
2019-11-04	Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations	Abstract | PDF
2019-11-04	Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life	Abstract | PDF
2019-11-04	Explaining the Predictions of Any Image Classifier via Decision Trees	Abstract | PDF
2019-11-02	Fair Predictors under Distribution Shift	Abstract | PDF
2019-11-01	Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches	Abstract | PDF
2019-11-01	Learning Hawkes Processes from a Handful of Events	Abstract | PDF
2019-11-01	Robust contrastive learning and nonlinear ICA in the presence of outliers	Abstract | PDF
2019-11-01	Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding	Abstract | PDF
2019-11-01	Generating Justifications for Norm-Related Agent Decisions	Abstract | PDF
2019-10-31	Scaling structural learning with NO-BEARS to infer causal transcriptome networks	Abstract | PDF
2019-10-31	Gaussian-Spherical Restricted Boltzmann Machines	Abstract | PDF
2019-10-31	Continual Multi-task Gaussian Processes	Abstract | PDF
2019-10-31	Extending Causal Models from Machines into Humans	Abstract | PDF
2019-10-31	Towards A Logical Account of Epistemic Causality	Abstract | PDF
2019-10-31	Causal Inference via Conditional Kolmogorov Complexity using MDL Binning	Abstract | PDF
2019-10-30	Bayesian causal inference via probabilistic program synthesis	Abstract | PDF
2019-10-30	Unsupervised inference approach to facial attractiveness	Abstract | PDF
2019-10-30	Proceedings of the 4th Workshop on Formal Reasoning about Causation, Responsibility, and Explanations in Science and Technology	Abstract | PDF
2019-10-30	Mathematical decisions and non-causal elements of explainable AI	Abstract | PDF
2019-10-29	Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets	Abstract | PDF
2019-10-29	Feature relevance quantification in explainable AI: A causal problem	Abstract | PDF
2019-10-28	Transformer-Transducer: End-to-End Speech Recognition with Self-Attention	Abstract | PDF
2019-10-28	A Game Theoretic Approach to Class-wise Selective Rationalization	Abstract | PDF
2019-10-28	Deep causal representation learning for unsupervised domain adaptation	Abstract | PDF
2019-10-27	Dual IV: A Single Stage Instrumental Variable Regression	Abstract | PDF
2019-10-27	CXPlain: Causal Explanations for Model Interpretation under Uncertainty	Abstract | PDF
2019-10-27	An Active Approach for Model Interpretation	Abstract | PDF
2019-10-25	Causal inference for climate change events from satellite image time series using computer vision and deep learning	Abstract | PDF
2019-10-24	Integrating overlapping datasets using bivariate causal discovery	Abstract | PDF
2019-10-24	A Bayesian nonparametric test for conditional independence	Abstract | PDF
2019-10-24	Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions	Abstract | PDF
2019-10-23	A Hierarchical Mixture Density Network	Abstract | PDF
2019-10-23	Strategic Classification is Causal Modeling in Disguise	Abstract | PDF
2019-10-22	Leveraging directed causal discovery to detect latent common causes	Abstract | PDF
2019-10-22	Embedded Bayesian Network Classifiers	Abstract | PDF
2019-10-21	Causal bootstrapping	Abstract | PDF
2019-10-21	Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community	Abstract | PDF
2019-10-21	Towards User Empowerment	Abstract | PDF
2019-10-21	Localization of Fake News Detection via Multitask Transfer Learning	Abstract | PDF
2019-10-21	Robust Online Learning for Resource Allocation -- Beyond Euclidean Projection and Dynamic Fit	Abstract | PDF
2019-10-21	Discovering the Compositional Structure of Vector Representations with Role Learning Networks	Abstract | PDF
2019-10-20	PC-Fairness: A Unified Framework for Measuring Causality-based Fairness	Abstract | PDF
2019-10-20	CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions	Abstract | PDF
2019-10-20	Ordering-Based Causal Structure Learning in the Presence of Latent Variables	Abstract | PDF
2019-10-20	Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis	Abstract | PDF
2019-10-19	Measurement Dependence Inducing Latent Causal Models	Abstract | PDF
2019-10-19	Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation	Abstract | PDF
2019-10-18	Masked Gradient-Based Causal Structure Learning	Abstract | PDF
2019-10-18	Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach	Abstract | PDF
2019-10-17	MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming	Abstract | PDF
2019-10-17	Comment: Reflections on the Deconfounder	Abstract | PDF
2019-10-17	Go with the Flow: Perception-refined Physics Simulation	Abstract | PDF
2019-10-17	Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited	Abstract | PDF
2019-10-16	A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random	Abstract | PDF
2019-10-16	Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge	Abstract | PDF
2019-10-16	Optimising Individual-Treatment-Effect Using Bandits	Abstract | PDF
2019-10-16	Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure	Abstract | PDF
2019-10-16	Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics	Abstract | PDF
2019-10-15	Counterfactual diagnosis	Abstract | PDF
2019-10-14	Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability	Abstract | PDF
2019-10-14	Variational Tracking and Prediction with Generative Disentangled State-Space Models	Abstract | PDF
2019-10-14	Knowledge-guided Unsupervised Rhetorical Parsing for Text Summarization	Abstract | PDF
2019-10-13	Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems	Abstract | PDF
2019-10-12	Interventional Experiment Design for Causal Structure Learning	Abstract | PDF
2019-10-11	Comment on "Blessings of Multiple Causes	Abstract | PDF
2019-10-11	The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data	Abstract | PDF
2019-10-11	BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels	Abstract | PDF
2019-10-11	Regret Analysis of Causal Bandit Problems	Abstract | PDF
2019-10-10	Estimation of Utility-Maximizing Bounds on Potential Outcomes	Abstract | PDF
2019-10-10	Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement	Abstract | PDF
2019-10-10	Causality and deceit: Do androids watch action movies?	Abstract | PDF
2019-10-10	Estimating Transfer Entropy via Copula Entropy	Abstract | PDF
2019-10-09	Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees	Abstract | PDF
2019-10-09	Removing input features via a generative model to explain their attributions to an image classifier's decisions	Abstract | PDF
2019-10-09	Optimal Training of Fair Predictive Models	Abstract | PDF
2019-10-09	Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks	Abstract | PDF
2019-10-09	Model-based Reinforcement Learning for Predictions and Control for Limit Order Books	Abstract | PDF
2019-10-07	Combining No-regret and Q-learning	Abstract | PDF
2019-10-07	Kernel-based Approach to Handle Mixed Data for Inferring Causal Graphs	Abstract | PDF
2019-10-07	High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes	Abstract | PDF
2019-10-06	Boosting Local Causal Discovery in High-Dimensional Expression Data	Abstract | PDF
2019-10-06	A Short Remark on Analogical Reasoning	Abstract | PDF
2019-10-05	Making sense of sensory input	Abstract | PDF
2019-10-05	A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks	Abstract | PDF
2019-10-04	Optimized Partial Identification Bounds for Regression Discontinuity Designs with Manipulation	Abstract | PDF
2019-10-04	Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration	Abstract | PDF
2019-10-04	Stacked Wasserstein Autoencoder	Abstract | PDF
2019-10-03	Causal Induction from Visual Observations for Goal Directed Tasks	Abstract | PDF
2019-10-03	Spike-based causal inference for weight alignment	Abstract | PDF
2019-10-03	CLEVRER: CoLlision Events for Video REpresentation and Reasoning	Abstract | PDF
2019-10-03	Efficient Local Causal Discovery Based on Markov Blanket	Abstract | PDF
2019-10-02	Embodied Language Grounding with Implicit 3D Visual Feature Representations	Abstract | PDF
2019-10-02	Learning Neural Causal Models from Unknown Interventions	Abstract | PDF
2019-10-02	Causal inference with Bayes rule	Abstract | PDF
2019-10-02	Contextual Local Explanation for Black Box Classifiers	Abstract | PDF
2019-10-02	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph	Abstract | PDF
2019-10-01	An introduction to flexible methods for policy evaluation	Abstract | PDF
2019-10-01	Order-Independent Structure Learning of Multivariate Regression Chain Graphs	Abstract | PDF
2019-10-01	Affordable Uplift: Supervised Randomization in Controlled Experiments	Abstract | PDF
2019-10-01	Robust Learning with the Hilbert-Schmidt Independence Criterion	Abstract | PDF
2019-10-01	Analyzing Sentence Fusion in Abstractive Summarization	Abstract | PDF
2019-09-30	Interrogating the Explanatory Power of Attention in Neural Machine Translation	Abstract | PDF
2019-09-30	On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints	Abstract | PDF
2019-09-29	FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing	Abstract | PDF
2019-09-29	AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference	Abstract | PDF
2019-09-29	Learning Sparse Nonparametric DAGs	Abstract | PDF
2019-09-27	Counterfactual States for Atari Agents via Generative Deep Learning	Abstract | PDF
2019-09-27	Alleviating Privacy Attacks via Causal Learning	Abstract | PDF
2019-09-26	Learning the Difference that Makes a Difference with Counterfactually-Augmented Data	Abstract | PDF
2019-09-26	Causal Belief Decomposition for Planning with Sensing: Completeness Results and Practical Approximation	Abstract | PDF
2019-09-26	Debiased Bayesian inference for average treatment effects	Abstract | PDF
2019-09-26	Factored Probabilistic Belief Tracking	Abstract | PDF
2019-09-26	COPHY: Counterfactual Learning of Physical Dynamics	Abstract | PDF
2019-09-25	DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems	Abstract | PDF
2019-09-25	Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data	Abstract | PDF
2019-09-25	Explaining and Interpreting LSTMs	Abstract | PDF
2019-09-25	When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations	Abstract | PDF
2019-09-23	Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning	Abstract | PDF
2019-09-23	Quantum Inflation: A General Approach to Quantum Causal Compatibility	Abstract | PDF
2019-09-23	On Model Stability as a Function of Random Seed	Abstract | PDF
2019-09-23	CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement	Abstract | PDF
2019-09-22	Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation	Abstract | PDF
2019-09-22	Scaled Autonomy: Enabling Human Operators to Control Robot Fleets	Abstract | PDF
2019-09-20	Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation	Abstract | PDF
2019-09-20	FACE: Feasible and Actionable Counterfactual Explanations	Abstract | PDF
2019-09-19	Explaining Visual Models by Causal Attribution	Abstract | PDF
2019-09-19	Procedural Reasoning Networks for Understanding Multimodal Procedures	Abstract | PDF
2019-09-18	Causal Modeling for Fairness in Dynamical Systems	Abstract | PDF
2019-09-18	Uncovering Sociological Effect Heterogeneity using Machine Learning	Abstract | PDF
2019-09-18	Learning from Bandit Feedback: An Overview of the State-of-the-art	Abstract | PDF
2019-09-18	Semantically Interpretable Activation Maps: what-where-how explanations within CNNs	Abstract | PDF
2019-09-18	A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation	Abstract | PDF
2019-09-17	A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging	Abstract | PDF
2019-09-16	Towards Unsupervised Segmentation of Extreme Weather Events	Abstract | PDF
2019-09-16	Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence	Abstract | PDF
2019-09-15	Non-Causal Tracking by Deblatting	Abstract | PDF
2019-09-14	Fuzzy Knowledge-Based Architecture for Learning and Interaction in Social Robots	Abstract | PDF
2019-09-13	Explainable Machine Learning in Deployment	Abstract | PDF
2019-09-12	Learning Symbolic Physics with Graph Networks	Abstract | PDF
2019-09-11	Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models	Abstract | PDF
2019-09-10	De-biased Machine Learning for Compliers	Abstract | PDF
2019-09-10	Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference	Abstract | PDF
2019-09-10	A Bayesian Approach to Direct and Inverse Abstract Argumentation Problems	Abstract | PDF
2019-09-10	Bayesian Network Based Risk and Sensitivity Analysis for Production Process Stability Control	Abstract | PDF
2019-09-10	A Benchmark Dataset for Learning to Intervene in Online Hate Speech	Abstract | PDF
2019-09-10	NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks	Abstract | PDF
2019-09-09	Counterfactual Story Reasoning and Generation	Abstract | PDF
2019-09-09	Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors	Abstract | PDF
2019-09-09	Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network	Abstract | PDF
2019-09-07	AutoML for Contextual Bandits	Abstract | PDF
2019-09-06	A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks	Abstract | PDF
2019-09-04	On the k-synchronizability of systems	Abstract | PDF
2019-09-04	Likelihood-Free Overcomplete ICA and Applications in Causal Discovery	Abstract | PDF
2019-09-03	Large-Scale Local Causal Inference of Gene Regulatory Relationships	Abstract | PDF
2019-09-03	Embedding Symbolic Knowledge into Deep Networks	Abstract | PDF
2019-09-03	Counterfactual Depth from a Single RGB Image	Abstract | PDF
2019-09-02	It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution	Abstract | PDF
2019-09-02	Unifying Causal Models with Trek Rules	Abstract | PDF
2019-09-02	Causal Discovery by Kernel Intrinsic Invariance Measure	Abstract | PDF
2019-08-30	Counterfactual Risk Assessments, Evaluation, and Fairness	Abstract | PDF
2019-08-27	Causally interpretable multi-step time series forecasting: A new machine learning approach using simulated differential equations	Abstract | PDF
2019-08-27	Model Selection With Graphical Neighbour Information	Abstract | PDF
2019-08-26	Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks	Abstract | PDF
2019-08-25	The Ridge Path Estimator for Linear Instrumental Variables	Abstract | PDF
2019-08-24	Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning	Abstract | PDF
2019-08-22	Online Inference for Advertising Auctions	Abstract | PDF
2019-08-20	Reinforcement Learning is not a Causal problem	Abstract | PDF
2019-08-20	Data Management for Causal Algorithmic Fairness	Abstract | PDF
2019-08-20	Counterfactual Distribution Regression for Structured Inference	Abstract | PDF
2019-08-19	Alliances and Conflict, or Conflict and Alliances? Appraising the Causal Effect of Alliances on Conflict	Abstract | PDF
2019-08-19	Semi-Implicit Graph Variational Auto-Encoders	Abstract | PDF
2019-08-19	Gradient Methods for Solving Stackelberg Games	Abstract | PDF
2019-08-19	Fine-grained Sentiment Analysis with Faithful Attention	Abstract | PDF
2019-08-18	A Multi-level Neural Network for Implicit Causality Detection in Web Texts	Abstract | PDF
2019-08-17	EmotionX-IDEA: Emotion BERT -- an Affectional Model for Conversation	Abstract | PDF
2019-08-16	Higher-Order Visualization of Causal Structures in Dynamics Graphs	Abstract | PDF
2019-08-14	Uplift Modeling for Multiple Treatments with Cost Optimization	Abstract | PDF
2019-08-14	The History of Digital Spam	Abstract | PDF

2019 / 8 / 14

Date	Title	Links
2019-08-13	Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching	Abstract | PDF
2019-08-13	Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective	Abstract | PDF
2019-08-13	Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking	Abstract | PDF
2019-08-11	Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables	Abstract | PDF
2019-08-11	Transcriptional Response of SK-N-AS Cells to Methamidophos	Abstract | PDF
2019-08-11	LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations	Abstract | PDF
2019-08-09	Detecting Heterogeneous Treatment Effect with Instrumental Variables	Abstract | PDF
2019-08-08	Measurable Counterfactual Local Explanations for Any Classifier	Abstract | PDF
2019-08-06	Experiential AI	Abstract | PDF
2019-08-02	Efficient computation of counterfactual explanations of LVQ models	Abstract | PDF
2019-07-31	DROGON: A Causal Reasoning Framework for Future Trajectory Forecast	Abstract | PDF
2019-07-30	Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning	Abstract | PDF
2019-07-29	The Challenge of Imputation in Explainable Artificial Intelligence Models	Abstract | PDF
2019-07-29	Bandits with Feedback Graphs and Switching Costs	Abstract | PDF
2019-07-26	Learning Task Specifications from Demonstrations via the Principle of Maximum Causal Entropy	Abstract | PDF
2019-07-26	von Neumann-Morgenstern and Savage Theorems for Causal Decision Making	Abstract | PDF
2019-07-26	On the Value of Bandit Feedback for Offline Recommender System Evaluation	Abstract | PDF
2019-07-24	Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products	Abstract | PDF
2019-07-24	Towards Logical Specification of Statistical Machine Learning	Abstract | PDF
2019-07-24	Info Intervention	Abstract | PDF
2019-07-24	One-Shot Mutual Affine-Transfer for Photorealistic Stylization	Abstract | PDF
2019-07-23	Off-policy Learning for Multiple Loggers	Abstract | PDF
2019-07-22	Low-Variance and Zero-Variance Baselines for Extensive-Form Games	Abstract | PDF
2019-07-22	Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems	Abstract | PDF
2019-07-22	VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions	Abstract | PDF
2019-07-22	The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations	Abstract | PDF
2019-07-18	A discriminative approach for finding and characterizing positivity violations using decision trees	Abstract | PDF
2019-07-18	ELG: An Event Logic Graph	Abstract | PDF
2019-07-16	Explaining Classifiers with Causal Concept Effect (CaCE)	Abstract | PDF
2019-07-15	Audits as Evidence: Experiments, Ensembles, and Enforcement	Abstract | PDF
2019-07-15	A Causal Bayesian Networks Viewpoint on Fairness	Abstract | PDF
2019-07-14	Counterfactual Reasoning for Fair Clinical Risk Prediction	Abstract | PDF
2019-07-14	Task Selection Policies for Multitask Learning	Abstract | PDF
2019-07-12	Saliency Maps Generation for Automatic Text Summarization	Abstract | PDF
2019-07-12	From Observability to Significance in Distributed Information Systems	Abstract | PDF
2019-07-11	Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle	Abstract | PDF
2019-07-11	Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations	Abstract | PDF
2019-07-10	Explaining an increase in predicted risk for clinical alerts	Abstract | PDF
2019-07-10	Quantifying Error in the Presence of Confounders for Causal Inference	Abstract | PDF
2019-07-10	Representing Attitudes Towards Ambiguity in Managerial Decisions	Abstract | PDF
2019-07-10	Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract)	Abstract | PDF
2019-07-09	Characterization of Overlap in Observational Studies	Abstract | PDF
2019-07-09	Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference	Abstract | PDF
2019-07-09	Conditional Independence Testing using Generative Adversarial Networks	Abstract | PDF
2019-07-08	Generalized Control Functions via Variational Decoupling	Abstract | PDF
2019-07-06	Generative Counterfactual Introspection for Explainable Deep Learning	Abstract | PDF
2019-07-06	Human detection of machine manipulated media	Abstract | PDF
2019-07-05	Invariant Risk Minimization	Abstract | PDF
2019-07-04	Explaining Predictions from Tree-based Boosting Ensembles	Abstract | PDF
2019-07-04	On Open-Universe Causal Reasoning	Abstract | PDF
2019-07-03	Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients	Abstract | PDF
2019-07-03	Circuit-Based Intrinsic Methods to Detect Overfitting	Abstract | PDF
2019-07-03	Interpretable Counterfactual Explanations Guided by Prototypes	Abstract | PDF
2019-07-02	Adjustment Criteria for Recovering Causal Effects from Missing Data	Abstract | PDF
2019-07-02	Reproducibility in Machine Learning for Health	Abstract | PDF
2019-07-01	The Sensitivity of Counterfactual Fairness to Unmeasured Confounding	Abstract | PDF
2019-06-30	Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks	Abstract | PDF
2019-06-30	Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning	Abstract | PDF
2019-06-29	Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates	Abstract | PDF
2019-06-29	Identification In Missing Data Models Represented By Directed Acyclic Graphs	Abstract | PDF
2019-06-29	Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting	Abstract | PDF
2019-06-29	Causal Inference Under Interference And Network Uncertainty	Abstract | PDF
2019-06-28	The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection	Abstract | PDF
2019-06-28	Causal Regularization	Abstract | PDF
2019-06-28	Direct Estimation of Difference Between Structural Equation Models in High Dimensions	Abstract | PDF
2019-06-27	Interpretable Almost-Matching-Exactly With Instrumental Variables	Abstract | PDF
2019-06-27	Approximate Causal Abstraction	Abstract | PDF
2019-06-26	Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps	Abstract | PDF
2019-06-26	Rethinking Formal Models of Partially Observable Multiagent Decision Making	Abstract | PDF
2019-06-25	Explaining Deep Learning Models with Constrained Adversarial Examples	Abstract | PDF
2019-06-25	A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls	Abstract | PDF
2019-06-25	An Unsupervised Bayesian Neural Network for Truth Discovery	Abstract | PDF
2019-06-25	Learning Causal State Representations of Partially Observable Environments	Abstract | PDF
2019-06-24	GANalyze: Toward Visual Definitions of Cognitive Image Properties	Abstract | PDF
2019-06-24	Deep Exemplar-based Video Colorization	Abstract | PDF
2019-06-24	Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding	Abstract | PDF
2019-06-24	Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU	Abstract | PDF
2019-06-21	Generating Counterfactual and Contrastive Explanations using SHAP	Abstract | PDF
2019-06-21	Filter Early, Match Late: Improving Network-Based Visual Place Recognition	Abstract | PDF
2019-06-20	Modeling AGI Safety Frameworks with Causal Influence Diagrams	Abstract | PDF
2019-06-18	Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment	Abstract | PDF
2019-06-18	Estimating a Manifold from a Tangent Bundle Learner	Abstract | PDF
2019-06-18	Transfer Learning for Causal Sentence Detection	Abstract | PDF
2019-06-17	A Bayesian Solution to the M-Bias Problem	Abstract | PDF
2019-06-17	Replacing the do-calculus with Bayes rule	Abstract | PDF
2019-06-14	Detecting Bias with Generative Counterfactual Face Attribute Augmentation	Abstract | PDF
2019-06-14	A Signal Propagation Perspective for Pruning Neural Networks at Initialization	Abstract | PDF
2019-06-14	Distributionally Robust Counterfactual Risk Minimization	Abstract | PDF
2019-06-14	Identify treatment effect patterns for personalised decisions	Abstract | PDF
2019-06-12	Reinforcement Knowledge Graph Reasoning for Explainable Recommendation	Abstract | PDF
2019-06-12	Joint Reasoning for Temporal and Causal Relations	Abstract | PDF
2019-06-11	Issues with post-hoc counterfactual explanations: a discussion	Abstract | PDF
2019-06-11	Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology	Abstract | PDF
2019-06-11	Efficient structure learning with automatic sparsity selection for causal graph processes	Abstract | PDF
2019-06-11	Causal Discovery with Reinforcement Learning	Abstract | PDF
2019-06-11	Probabilistic Forecasting with Temporal Convolutional Neural Network	Abstract | PDF
2019-06-11	Learning Powerful Policies by Using Consistent Dynamics Model	Abstract | PDF
2019-06-10	Estimating Causal Effects of Tone in Online Debates	Abstract | PDF
2019-06-10	E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles	Abstract | PDF
2019-06-09	Robust conditional GANs under missing or uncertain labels	Abstract | PDF
2019-06-08	Learning Individual Treatment Effects from Networked Observational Data	Abstract | PDF
2019-06-07	Detecting the Starting Frame of Actions in Video	Abstract | PDF
2019-06-07	Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck	Abstract | PDF
2019-06-06	Counterfactual Inference for Consumer Choice Across Many Product Categories	Abstract | PDF
2019-06-06	ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions	Abstract | PDF
2019-06-05	Finding Friend and Foe in Multi-Agent Games	Abstract | PDF
2019-06-05	Gradient-Based Neural DAG Learning	Abstract | PDF
2019-06-05	Adapting Neural Networks for the Estimation of Treatment Effects	Abstract | PDF
2019-06-05	CCMI : Classifier based Conditional Mutual Information Estimation	Abstract | PDF
2019-06-05	Prediction of Workplace Injuries	Abstract | PDF
2019-06-04	Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation	Abstract | PDF
2019-06-04	The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis	Abstract | PDF
2019-06-04	Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds	Abstract | PDF
2019-06-04	RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction	Abstract | PDF
2019-06-04	From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification	Abstract | PDF
2019-06-03	2019 Evolutionary Algorithms Review	Abstract | PDF
2019-06-02	An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference	Abstract | PDF
2019-06-01	Kernel Instrumental Variable Regression	Abstract | PDF
2019-06-01	Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes	Abstract | PDF
2019-05-31	Symbol Emergence as an Interpersonal Multimodal Categorization	Abstract | PDF
2019-05-30	Rarely-switching linear bandits: optimization of causal effects for the real world	Abstract | PDF
2019-05-30	Multiple Causes: A Causal Graphical View	Abstract | PDF
2019-05-29	The Label Complexity of Active Learning from Observational Data	Abstract | PDF
2019-05-29	Using Text Embeddings for Causal Inference	Abstract | PDF
2019-05-29	Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach	Abstract | PDF
2019-05-29	Evaluating structure learning algorithms with a balanced scoring function	Abstract | PDF
2019-05-29	Private Causal Inference using Propensity Scores	Abstract | PDF
2019-05-29	Deep Generalized Method of Moments for Instrumental Variable Analysis	Abstract | PDF
2019-05-28	Semi-Supervised Learning, Causality and the Conditional Cluster Assumption	Abstract | PDF
2019-05-28	Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions	Abstract | PDF
2019-05-28	Causal Confusion in Imitation Learning	Abstract | PDF
2019-05-28	Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy	Abstract | PDF
2019-05-27	Ancestral causal learning in high dimensions with a human genome-wide application	Abstract | PDF
2019-05-27	Model-Agnostic Counterfactual Explanations for Consequential Decisions	Abstract | PDF
2019-05-27	Explainable Reinforcement Learning Through a Causal Lens	Abstract | PDF
2019-05-27	Learning Policies from Human Data for Skat	Abstract | PDF
2019-05-26	Equal Opportunity and Affirmative Action via Counterfactual Predictions	Abstract | PDF
2019-05-26	Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models	Abstract | PDF
2019-05-26	When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums	Abstract | PDF
2019-05-25	HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference	Abstract | PDF
2019-05-24	Dirac Delta Regression: Conditional Density Estimation with Clinical Trials	Abstract | PDF
2019-05-24	Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments	Abstract | PDF
2019-05-23	Augmenting correlation structures in spatial data using deep generative models	Abstract | PDF
2019-05-23	From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use	Abstract | PDF
2019-05-23	Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring	Abstract | PDF
2019-05-23	Causal Discovery with Cascade Nonlinear Additive Noise Models	Abstract | PDF
2019-05-21	A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks	Abstract | PDF
2019-05-20	Conditionally-additive-noise Models for Structure Learning	Abstract | PDF
2019-05-20	Can Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems	Abstract | PDF
2019-05-20	Decoding the Rejuvenating Effects of Mechanical Loading on Skeletal Maturation using in Vivo Imaging and Deep Learning	Abstract | PDF
2019-05-20	CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models	Abstract | PDF
2019-05-19	Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations	Abstract | PDF
2019-05-17	Contrastive Algorithmic Fairness: Part 1 (Theory)	Abstract | PDF
2019-05-17	How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins	Abstract | PDF
2019-05-16	Stability of Linear Structural Equation Models of Causal Inference	Abstract | PDF
2019-05-16	MoGlow: Probabilistic and controllable motion synthesis using normalising flows	Abstract | PDF
2019-05-16	Additive Adversarial Learning for Unbiased Authentication	Abstract | PDF
2019-05-14	Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models	Abstract | PDF
2019-05-14	Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice	Abstract | PDF
2019-05-14	Experimental Evaluation of Individualized Treatment Rules	Abstract | PDF
2019-05-11	Explainable AI for Trees: From Local Explanations to Global Understanding	Abstract | PDF
2019-05-11	Boosting Generative Models by Leveraging Cascaded Meta-Models	Abstract | PDF
2019-05-11	Learning Robotic Manipulation through Visual Planning and Acting	Abstract | PDF
2019-05-09	Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack	Abstract | PDF
2019-05-08	Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines	Abstract | PDF
2019-05-06	Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data	Abstract | PDF
2019-05-04	Detecting Pathogenic Social Media Accounts without Content or Network Structure	Abstract | PDF
2019-05-04	An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter	Abstract | PDF
2019-05-02	Visualizing Deep Networks by Optimizing with Integrated Gradients	Abstract | PDF
2019-04-30	Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data	Abstract | PDF
2019-04-30	Online Causal Structure Learning in the Presence of Latent Variables	Abstract | PDF
2019-04-30	Efficiently Checking Actual Causality with SAT Solving	Abstract | PDF
2019-04-29	Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud	Abstract | PDF
2019-04-29	DeLiO: Decoupled LiDAR Odometry	Abstract | PDF
2019-04-28	Optimizing regularized Cholesky score for order-based learning of Bayesian networks	Abstract | PDF
2019-04-26	Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding	Abstract | PDF
2019-04-26	Distributed Classification of Urban Congestion Using VANET	Abstract | PDF
2019-04-26	Neural Ideal Point Estimation Network	Abstract | PDF
2019-04-24	Mercator: uncovering faithful hyperbolic embeddings of complex networks	Abstract | PDF
2019-04-24	Solving zero-sum extensive-form games with arbitrary payoff uncertainty models	Abstract | PDF
2019-04-24	Beauty Learning and Counterfactual Inference	Abstract | PDF
2019-04-23	Risk Structures: Towards Engineering Risk-aware Autonomous Systems	Abstract | PDF

2019 / 4 / 23

Date	Title	Links
2019-04-19	Transfer Entropy: where Shannon meets Turing	Abstract | PDF
2019-04-19	Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA	Abstract | PDF
2019-04-18	Exploring the Limitations of Behavior Cloning for Autonomous Driving	Abstract | PDF
2019-04-18	Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding	Abstract | PDF
2019-04-18	Learning to Collocate Neural Modules for Image Captioning	Abstract | PDF
2019-04-17	Explainability in Human-Agent Systems	Abstract | PDF
2019-04-17	People infer recursive visual concepts from just a few examples	Abstract | PDF
2019-04-16	Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings	Abstract | PDF
2019-04-16	Counterfactual Visual Explanations	Abstract | PDF
2019-04-11	Compressing deep neural networks by matrix product operators	Abstract | PDF
2019-04-11	Deep Neural Network Ensembles	Abstract | PDF
2019-04-10	Scanner Invariant Representations for Diffusion MRI Harmonization	Abstract | PDF
2019-04-10	Active Learning for Decision-Making from Imbalanced Observational Data	Abstract | PDF
2019-04-08	On assumption-free tests and confidence intervals for causal effects estimated by machine learning	Abstract | PDF
2019-04-08	Plant-wide fault and disturbance screening using combined transfer entropy and eigenvector centrality analysis	Abstract | PDF
2019-04-08	The Kikuchi Hierarchy and Tensor PCA	Abstract | PDF
2019-04-07	A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts	Abstract | PDF
2019-04-07	Modularized Textual Grounding for Counterfactual Resilience	Abstract | PDF
2019-04-06	Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation	Abstract | PDF
2019-04-06	Reinforcement Learning with Attention that Works: A Self-Supervised Approach	Abstract | PDF
2019-04-04	What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems	Abstract | PDF
2019-04-04	UU-Nets Connecting Discriminator and Generator for Image to Image Translation	Abstract | PDF
2019-04-03	Robust Multi-agent Counterfactual Prediction	Abstract | PDF
2019-04-03	The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs)	Abstract | PDF
2019-04-03	OpBerg: Discovering causal sentences using optimal alignments	Abstract | PDF
2019-04-02	Synthetic learner: model-free inference on treatments over time	Abstract | PDF
2019-04-01	Dynamically optimal treatment allocation using Reinforcement Learning	Abstract | PDF
2019-04-01	Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning	Abstract | PDF
2019-04-01	Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach	Abstract | PDF
2019-03-30	On Arrhythmia Detection by Deep Learning and Multidimensional Representation	Abstract | PDF
2019-03-29	Interpreting Black Box Models with Statistical Guarantees	Abstract | PDF
2019-03-27	Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality	Abstract | PDF
2019-03-27	Generalized Off-Policy Actor-Critic	Abstract | PDF
2019-03-27	On Attribution of Recurrent Neural Network Predictions via Additive Decomposition	Abstract | PDF
2019-03-25	End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations	Abstract | PDF
2019-03-24	Machine Learning Methods Economists Should Know About	Abstract | PDF
2019-03-22	Impulse Response and Granger Causality in Dynamical Systems with Autoencoder Nonlinear Vector Autoregressions	Abstract | PDF
2019-03-18	Counterpoint by Convolution	Abstract | PDF
2019-03-16	Emotion Action Detection and Emotion Inference: the Task and Dataset	Abstract | PDF
2019-03-14	Recurrence required to capture the dynamic computations of the human ventral visual stream	Abstract | PDF
2019-03-14	Attribution-driven Causal Analysis for Detection of Adversarial Examples	Abstract | PDF
2019-03-13	Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks	Abstract | PDF
2019-03-13	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent	Abstract | PDF
2019-03-12	Testing Conditional Independence on Discrete Data using Stochastic Complexity	Abstract | PDF
2019-03-11	Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns	Abstract | PDF
2019-03-11	Blameworthiness in Multi-Agent Settings	Abstract | PDF
2019-03-09	Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes	Abstract | PDF
2019-03-08	Based on Graph-VAE Model to Predict Student's Score	Abstract | PDF
2019-03-06	A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder	Abstract | PDF
2019-03-06	Orthogonal Structure Search for Efficient Causal Discovery from Observational Data	Abstract | PDF
2019-03-06	Causal Discovery Toolbox: Uncover causal relationships in Python	Abstract | PDF
2019-03-06	Dixit: Interactive Visual Storytelling via Term Manipulation	Abstract | PDF
2019-03-05	Size of Interventional Markov Equivalence Classes in Random DAG Models	Abstract | PDF
2019-03-05	Lenses and Learners	Abstract | PDF
2019-03-05	The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality	Abstract | PDF
2019-03-05	Causal Discovery from Heterogeneous/Nonstationary Data	Abstract | PDF
2019-03-04	Using Causal Analysis to Learn Specifications from Task Demonstrations	Abstract | PDF
2019-03-04	Differentiable Causal Computations via Delayed Trace	Abstract | PDF
2019-03-02	FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration	Abstract | PDF
2019-03-01	Machine learning in policy evaluation: new tools for causal inference	Abstract | PDF
2019-02-28	The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics	Abstract | PDF
2019-02-28	Model Agnostic High-Dimensional Error-in-Variable Regression	Abstract | PDF
2019-02-27	Machine learning for subgroup discovery under treatment effect	Abstract | PDF
2019-02-27	On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives	Abstract | PDF
2019-02-26	Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis	Abstract | PDF
2019-02-26	Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings	Abstract | PDF
2019-02-25	Deep Bayesian Multi-Target Learning for Recommender Systems	Abstract | PDF
2019-02-24	Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?	Abstract | PDF
2019-02-22	From open learners to open games	Abstract | PDF
2019-02-21	Capuchin: Causal Database Repair for Algorithmic Fairness	Abstract | PDF
2019-02-21	Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering	Abstract | PDF
2019-02-14	Adversarially Approximated Autoencoder for Image Generation and Manipulation	Abstract | PDF
2019-02-14	Classifying Treatment Responders Under Causal Effect Monotonicity	Abstract | PDF
2019-02-13	Stable-Predictive Optimistic Counterfactual Regret Minimization	Abstract | PDF
2019-02-13	Distributionally Robust Multi-instance Learning with Stable Instances	Abstract | PDF
2019-02-12	Weighted Tensor Completion for Time-Series Causal Inference	Abstract | PDF
2019-02-12	Gaussian Mean Field Regularizes by Limiting Learned Information	Abstract | PDF
2019-02-12	Preferences Implicit in the State of the World	Abstract | PDF
2019-02-11	Using Embeddings to Correct for Unobserved Confounding	Abstract | PDF
2019-02-11	Divergence-Based Motivation for Online EM and Combining Hidden Variable Models	Abstract | PDF
2019-02-09	Multi-Domain Translation by Learning Uncoupled Autoencoders	Abstract | PDF
2019-02-09	When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks	Abstract | PDF
2019-02-08	Source Traces for Temporal Difference Learning	Abstract | PDF
2019-02-07	Cost-Effective Incentive Allocation via Structured Counterfactual Inference	Abstract | PDF
2019-02-06	Neural Network Attributions: A Causal Perspective	Abstract | PDF
2019-02-06	A Guiding Principle for Causal Decision Problems	Abstract | PDF
2019-02-05	Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data	Abstract | PDF
2019-02-04	Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach	Abstract | PDF
2019-02-03	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves	Abstract | PDF
2019-02-02	High-dimensional semi-supervised learning: in search for optimal inference of the mean	Abstract | PDF
2019-02-02	Learning Linear Dynamical Systems with Semi-Parametric Least Squares	Abstract | PDF
2019-02-02	Distinction Graphs and Graphtropy: A Formalized Phenomenological Layer Underlying Classical and Quantum Entropy, Observational Semantics and Cognitive Computation	Abstract | PDF
2019-02-01	Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders	Abstract | PDF
2019-02-01	Causal Simulations for Uplift Modeling	Abstract | PDF
2019-02-01	Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network	Abstract | PDF
2019-01-31	Learning Triggers for Heterogeneous Treatment Effects	Abstract | PDF
2019-01-31	Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures	Abstract | PDF
2019-01-30	Natural Analysts in Adaptive Data Analysis	Abstract | PDF
2019-01-30	A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms	Abstract | PDF
2019-01-30	Unsupervised Scalable Representation Learning for Multivariate Time Series	Abstract | PDF

2019 / 1 / 28

Date	Title	Links
2019-01-25	Bayesian surrogate learning in dynamic simulator-based regression problems	Abstract | PDF
2019-01-24	Learning Interpretable Models with Causal Guarantees	Abstract | PDF
2019-01-24	Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems	Abstract | PDF
2019-01-24	Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data	Abstract | PDF
2019-01-23	Causal Reasoning from Meta-reinforcement Learning	Abstract | PDF
2019-01-22	Single Deep Counterfactual Regret Minimization	Abstract | PDF
2019-01-22	Can Transfer Entropy Infer Causality in Neuronal Circuits for Cognitive Processing?	Abstract | PDF
2019-01-22	Generation High resolution 3D model from natural language by Generative Adversarial Network	Abstract | PDF
2019-01-21	DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets	Abstract | PDF
2019-01-21	We Are Not Your Real Parents: Telling Causal from Confounded using MDL	Abstract | PDF
2019-01-18	Theory of Minds: Understanding Behavior in Groups Through Inverse Planning	Abstract | PDF
2019-01-15	Imitation-Regularized Offline Learning	Abstract | PDF
2019-01-14	A Modern Retrospective on Probabilistic Numerics	Abstract | PDF
2019-01-11	Non-Parametric Inference Adaptive to Intrinsic Dimension	Abstract | PDF
2019-01-11	On Event Causality Detection in Tweets	Abstract | PDF
2019-01-10	Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models	Abstract | PDF
2019-01-09	What do Language Representations Really Represent?	Abstract | PDF
2019-01-09	Estimating Buildings' Parameters over Time Including Prior Knowledge	Abstract | PDF
2019-01-07	On the effect of the activation function on the distribution of hidden nodes in a deep network	Abstract | PDF
2019-01-06	Causality and Bayesian network PDEs for multiscale representations of porous media	Abstract | PDF
2019-01-03	A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs	Abstract | PDF
2019-01-02	Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias	Abstract | PDF
2019-01-02	Efficient Search for Diverse Coherent Explanations	Abstract | PDF
2019-01-01	Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology	Abstract | PDF
2018-12-31	Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach	Abstract | PDF
2018-12-28	Learning to Reconstruct Shapes from Unseen Classes	Abstract | PDF
2018-12-27	Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition	Abstract | PDF
2018-12-27	Double Neural Counterfactual Regret Minimization	Abstract | PDF

2018 / 12 / 27

Date	Title	Links
2018-12-25	Dropout Regularization in Hierarchical Mixture of Experts	Abstract | PDF
2018-12-25	Goal-based Course Recommendation	Abstract | PDF
2018-12-24	Bayesian Causal Inference	Abstract | PDF
2018-12-22	Modified Causal Forests for Estimating Heterogeneous Causal Effects	Abstract | PDF
2018-12-21	Stochastic Doubly Robust Gradient	Abstract | PDF
2018-12-20	Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score	Abstract | PDF
2018-12-20	cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU	Abstract | PDF
2018-12-19	Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks	Abstract | PDF
2018-12-18	Hybrid Loss for Learning Single-Image-based HDR Reconstruction	Abstract | PDF
2018-12-15	Balanced Linear Contextual Bandits	Abstract | PDF
2018-12-15	Causal Identification under Markov Equivalence	Abstract | PDF
2018-12-14	Inferring the size of the causal universe: features and fusion of causal attribution networks	Abstract | PDF
2018-12-11	Predictive Learning on Sign-Valued Hidden Markov Trees	Abstract | PDF
2018-12-11	Learning Predictive Models That Transport	Abstract | PDF
2018-12-10	Abstracting Causal Models	Abstract | PDF
2018-12-08	Weighted Risk Minimization & Deep Learning	Abstract | PDF
2018-12-08	Counterfactuals uncover the modular structure of deep generative models	Abstract | PDF
2018-12-07	seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention	Abstract | PDF
2018-12-07	ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst	Abstract | PDF
2018-12-07	EventNet: Asynchronous recursive event processing	Abstract | PDF
2018-12-06	Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation	Abstract | PDF
2018-12-04	Multimodal Explanations by Predicting Counterfactuality in Videos	Abstract | PDF
2018-12-03	Generalization in anti-causal learning	Abstract | PDF
2018-12-01	Explainable Genetic Inheritance Pattern Prediction	Abstract | PDF
2018-12-01	A Probabilistic Model of Cardiac Physiology and Electrocardiograms	Abstract | PDF
2018-11-30	Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting	Abstract | PDF
2018-11-29	Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models	Abstract | PDF
2018-11-29	Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing	Abstract | PDF
2018-11-27	Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry	Abstract | PDF
2018-11-26	GAN Dissection: Visualizing and Understanding Generative Adversarial Networks	Abstract | PDF
2018-11-26	Estimating Causal Effects With Partial Covariates For Clinical Interpretability	Abstract | PDF
2018-11-26	Phase-only Image Based Kernel Estimation for Single-image Blind Deblurring	Abstract | PDF

2018 / 11 / 26

Date	Title	Links
2018-11-23	Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks	Abstract | PDF
2018-11-21	Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning	Abstract | PDF
2018-11-21	Distinguishing correlation from causation using genome-wide association studies	Abstract | PDF
2018-11-20	On a hypergraph probabilistic graphical model	Abstract | PDF
2018-11-20	Causal Inference by String Diagram Surgery	Abstract | PDF
2018-11-17	Recurrence to the Rescue: Towards Causal Spatiotemporal Representations	Abstract | PDF
2018-11-17	Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach	Abstract | PDF
2018-11-16	Machine Decisions and Human Consequences	Abstract | PDF
2018-11-15	HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty	Abstract | PDF
2018-11-15	Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search	Abstract | PDF
2018-11-15	Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation	Abstract | PDF
2018-11-14	Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions	Abstract | PDF
2018-11-13	Interpretable Credit Application Predictions With Counterfactual Explanations	Abstract | PDF
2018-11-12	When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation	Abstract | PDF
2018-11-11	Unifying Gaussian LWF and AMP Chain Graphs to Model Interference	Abstract | PDF
2018-11-11	Explaining Deep Learning Models using Causal Inference	Abstract | PDF
2018-11-08	Information Flow in Pregroup Models of Natural Language	Abstract | PDF
2018-11-07	Contrastive Explanation: A Structural-Model Approach	Abstract | PDF
2018-11-07	Policy Certificates: Towards Accountable Reinforcement Learning	Abstract | PDF
2018-11-06	CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning	Abstract | PDF
2018-11-06	Multi-channel discourse as an indicator for Bitcoin price and volume movements	Abstract | PDF
2018-11-06	Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning	Abstract | PDF
2018-11-05	ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion	Abstract | PDF
2018-11-01	Modeling Attention Flow on Graphs	Abstract | PDF
2018-11-01	Horizon: Facebook's Open Source Applied Reinforcement Learning Platform	Abstract | PDF
2018-11-01	Deep Counterfactual Regret Minimization	Abstract | PDF
2018-10-31	Interventional Robustness of Deep Latent Variable Models	Abstract | PDF
2018-10-31	On Fast Leverage Score Sampling and Optimal Learning	Abstract | PDF
2018-10-30	Discovering state-parameter mappings in subsurface models using generative adversarial networks	Abstract | PDF
2018-10-30	Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding	Abstract | PDF
2018-10-29	Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality	Abstract | PDF
2018-10-28	Experimental Design for Cost-Aware Learning of Causal Graphs	Abstract | PDF
2018-10-28	Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction	Abstract | PDF
2018-10-28	Identifying Causal Structure in Large-Scale Kinetic Systems	Abstract | PDF
2018-10-27	Removing Hidden Confounding by Experimental Grounding	Abstract | PDF
2018-10-26	Finding dissimilar explanations in Bayesian networks: Complexity results	Abstract | PDF
2018-10-26	Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization	Abstract | PDF

2018 / 10 / 24

Date	Title	Links
2018-10-23	Meta-Learning Multi-task Communication	Abstract | PDF
2018-10-22	Properties of an N Time-Slice Dynamic Chain Event Graph	Abstract | PDF
2018-10-21	Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing	Abstract | PDF
2018-10-19	Intrinsic Social Motivation via Causal Influence in Multi-Agent RL	Abstract | PDF
2018-10-18	An Upper Bound for Random Measurement Error in Causal Discovery	Abstract | PDF
2018-10-17	Adversarial Balancing for Causal Inference	Abstract | PDF
2018-10-16	Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences	Abstract | PDF
2018-10-16	Hunting for Discriminatory Proxies in Linear Regression Models	Abstract | PDF
2018-10-14	Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information	Abstract | PDF
2018-10-13	Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility	Abstract | PDF
2018-10-13	Point Cloud GAN	Abstract | PDF
2018-10-10	Deep Recurrent Level Set for Segmenting Brain Tumors	Abstract | PDF
2018-10-10	Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information	Abstract | PDF

2018 / 10 / 10

Date	Title	Links
2018-10-08	Optimizing Waiting Thresholds Within A State Machine	Abstract | PDF
2018-10-07	Solving Large Sequential Games with the Excessive Gap Technique	Abstract | PDF
2018-10-05	Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding	Abstract | PDF
2018-10-05	High-Dimensional Poisson DAG Model Learning Using $\ell_1$-Regularized Regression	Abstract | PDF
2018-10-02	Contextual Multi-Armed Bandits for Causal Marketing	Abstract | PDF
2018-10-01	Challenges of Using Text Classifiers for Causal Inference	Abstract | PDF
2018-10-01	Counterfactually Fair Prediction Using Multiple Causal Models	Abstract | PDF
2018-10-01	Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks	Abstract | PDF
2018-09-30	3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image	Abstract | PDF
2018-09-28	HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting	Abstract | PDF
2018-09-27	Estimation of Personalized Effects Associated With Causal Pathways	Abstract | PDF
2018-09-27	Controllable Neural Story Generation via Reinforcement Learning	Abstract | PDF
2018-09-27	Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models	Abstract | PDF
2018-09-27	Counterfactual Fairness in Text Classification through Robustness	Abstract | PDF
2018-09-26	Deep Neural Networks for Estimation and Inference: Application to Causal Effects and Other Semiparametric Estimands	Abstract | PDF

2018 / 9 / 26

Date	Title	Links
2018-09-25	A Survey of Learning Causality with Data: Problems and Methods	Abstract | PDF
2018-09-25	Early Identification of Pathogenic Social Media Accounts	Abstract | PDF
2018-09-24	Evaluating Fairness Metrics in the Presence of Dataset Bias	Abstract | PDF
2018-09-23	Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models	Abstract | PDF
2018-09-23	A Kernel Embedding-based Approach for Nonstationary Causal Model Inference	Abstract | PDF
2018-09-21	Answering the "why" in Answer Set Programming - A Survey of Explanation Approaches	Abstract | PDF
2018-09-20	Solving Large Extensive-Form Games with Strategy Constraints	Abstract | PDF
2018-09-18	A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks	Abstract | PDF
2018-09-18	Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks	Abstract | PDF
2018-09-16	Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning	Abstract | PDF
2018-09-13	Bayesian Structure Learning by Recursive Bootstrap	Abstract | PDF
2018-09-11	Solving Imperfect-Information Games via Discounted Regret Minimization	Abstract | PDF
2018-09-10	Efficient Counterfactual Learning from Bandit Feedback	Abstract | PDF
2018-09-10	Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games	Abstract | PDF
2018-09-09	Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines	Abstract | PDF
2018-09-08	Faithful Multimodal Explanation for Visual Question Answering	Abstract | PDF
2018-09-07	Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data	Abstract | PDF
2018-09-07	A Primer on Causality in Data Science	Abstract | PDF
2018-09-06	Learning Optimal Fair Policies	Abstract | PDF
2018-09-04	Causal Explanation Analysis on Social Media	Abstract | PDF
2018-08-30	Uniform Inference in High-Dimensional Gaussian Graphical Models	Abstract | PDF
2018-08-29	PanoRoom: From the Sphere to the 3D Layout	Abstract | PDF
2018-08-26	FinBrain: When Finance Meets AI 2.0	Abstract | PDF
2018-08-25	DNN: A Two-Scale Distributional Tale of Heterogeneous Treatment Effect Inference	Abstract | PDF
2018-08-24	Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information	Abstract | PDF
2018-08-23	Transfer Learning for Estimating Causal Effects using Neural Networks	Abstract | PDF
2018-08-22	Robust Counterfactual Inferences using Feature Learning and their Applications	Abstract | PDF
2018-08-22	Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace	Abstract | PDF
2018-08-21	Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing	Abstract | PDF
2018-08-20	The Deconfounded Recommender: A Causal Inference Approach to Recommendation	Abstract | PDF
2018-08-20	Causal Discovery by Telling Apart Parents and Children	Abstract | PDF
2018-08-20	Discovering Context Specific Causal Relationships	Abstract | PDF
2018-08-18	Effect of secular trend in drug effectiveness study in real world data	Abstract | PDF
2018-08-16	SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference	Abstract | PDF
2018-08-15	Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption	Abstract | PDF
2018-08-13	Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms	Abstract | PDF
2018-08-09	Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects	Abstract | PDF
2018-08-09	Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms	Abstract | PDF
2018-08-06	Probabilistic Causal Analysis of Social Influence	Abstract | PDF

2018 / 8 / 3

Date	Title	Links
2018-07-31	Gender Bias in Neural Natural Language Processing	Abstract | PDF
2018-07-30	Causal Modeling with Probabilistic Simulation Models	Abstract | PDF
2018-07-26	Entropic Latent Variable Discovery	Abstract | PDF
2018-07-26	Differential Analysis of Directed Networks	Abstract | PDF
2018-07-25	Grounding Visual Explanations	Abstract | PDF
2018-07-24	Learning Plannable Representations with Causal InfoGAN	Abstract | PDF
2018-07-22	Learning Deep Hidden Nonlinear Dynamics from Aggregate Data	Abstract | PDF
2018-07-20	Boosting algorithms for uplift modeling	Abstract | PDF
2018-07-20	Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features	Abstract | PDF
2018-07-20	Learning the effect of latent variables in Gaussian Graphical models with unobserved variables	Abstract | PDF
2018-07-18	Video Time: Properties, Encoders and Evaluation	Abstract | PDF
2018-07-18	Machine Learning Interpretability: A Science rather than a tool	Abstract | PDF
2018-07-17	Knockoffs for the mass: new feature importance statistics with false discovery guarantees	Abstract | PDF
2018-07-14	Specular-to-Diffuse Translation for Multi-View Reconstruction	Abstract | PDF
2018-07-13	Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception	Abstract | PDF
2018-07-12	Fast Estimation of Causal Interactions using Wold Processes	Abstract | PDF
2018-07-11	Causal discovery in the presence of missing data	Abstract | PDF
2018-07-10	Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption	Abstract | PDF
2018-07-10	Algebraic Equivalence of Linear Structural Equation Models	Abstract | PDF
2018-07-09	Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders	Abstract | PDF
2018-07-09	A Sequence-to-Sequence Model for Semantic Role Labeling	Abstract | PDF
2018-07-09	Supervised Local Modeling for Interpretability	Abstract | PDF
2018-07-06	Causal Deep Information Bottleneck	Abstract | PDF
2018-07-06	Sum-Product Networks for Sequence Labeling	Abstract | PDF
2018-07-05	Representing scenarios for process evolution management	Abstract | PDF
2018-07-03	Playing against Nature: causal discovery for decision making under uncertainty	Abstract | PDF
2018-07-02	Analysis and Optimization of Deep CounterfactualValue Networks	Abstract | PDF
2018-06-30	Mammography Assessment using Multi-Scale Deep Classifiers	Abstract | PDF
2018-06-29	Bayesian Counterfactual Risk Minimization	Abstract | PDF
2018-06-26	Deep $k$-Means: Jointly Clustering with $k$-Means and Learning Representations	Abstract | PDF
2018-06-26	A Constraint-based Encoding for Domain-Independent Temporal Planning	Abstract | PDF
2018-06-26	Open the Black Box Data-Driven Explanation of Black Box Decision Systems	Abstract | PDF
2018-06-26	Generating Counterfactual Explanations with Natural Language	Abstract | PDF
2018-06-26	Causal Inference for Early Detection of Pathogenic Social Media Accounts	Abstract | PDF
2018-06-25	A Proof of the Front-Door Adjustment Formula	Abstract | PDF
2018-06-25	An Outcome Model Approach to Translating a Randomized Controlled Trial Results to a Target Population	Abstract | PDF
2018-06-22	Learning Traffic Flow Dynamics using Random Fields	Abstract | PDF
2018-06-22	Visual-Inertial Object Detection and Mapping	Abstract | PDF
2018-06-22	Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization	Abstract | PDF
2018-06-21	Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances	Abstract | PDF

2018 / 6 / 21

Date	Title	Links
2018-06-20	Doubly Nested Network for Resource-Efficient Inference	Abstract | PDF
2018-06-20	Towards Robust Interpretability with Self-Explaining Neural Networks	Abstract | PDF
2018-06-19	Surrogate Outcomes and Transportability	Abstract | PDF
2018-06-19	Enhancing Identification of Causal Effects by Pruning	Abstract | PDF
2018-06-19	Simplifying Probabilistic Expressions in Causal Inference	Abstract | PDF
2018-06-19	Restricted Boltzmann Machines: Introduction and Review	Abstract | PDF
2018-06-18	Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference	Abstract | PDF
2018-06-18	Flexible Collaborative Estimation of the Average Causal Effect of a Treatment using the Outcome-Highly-Adaptive Lasso	Abstract | PDF
2018-06-17	Multi-variable LSTM neural network for autoregressive exogenous model	Abstract | PDF
2018-06-16	Stable Prediction across Unknown Environments	Abstract | PDF
2018-06-16	The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks	Abstract | PDF
2018-06-13	Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models	Abstract | PDF
2018-06-11	Massively Parallel Video Networks	Abstract | PDF
2018-06-09	Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank	Abstract | PDF
2018-06-09	Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation	Abstract | PDF
2018-06-08	Pricing Engine: Estimating Causal Impacts in Real World Business Settings	Abstract | PDF
2018-06-08	Causal effects based on distributional distances	Abstract | PDF
2018-06-07	Unbiased Estimation of the Value of an Optimized Policy	Abstract | PDF
2018-06-06	Causal Interventions for Fairness	Abstract | PDF
2018-06-06	Causal Bandits with Propagating Inference	Abstract | PDF
2018-06-05	MRPC: An R package for accurate inference of causal graphs	Abstract | PDF
2018-06-05	A Primer on Causal Analysis	Abstract | PDF
2018-06-04	groupICA: Independent component analysis for grouped data	Abstract | PDF
2018-06-04	Optimal Balancing of Time-Dependent Confounders for Marginal Structural Models	Abstract | PDF
2018-06-03	Structural Learning of Multivariate Regression Chain Graphs via Decomposition	Abstract | PDF
2018-06-03	Causal Inference with Noisy and Missing Covariates via Matrix Factorization	Abstract | PDF
2018-05-31	Learning Tree Distributions by Hidden Markov Models	Abstract | PDF
2018-05-31	Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems	Abstract | PDF
2018-05-30	Too Fast Causal Inference under Causal Insufficiency	Abstract | PDF
2018-05-28	Local Rule-Based Explanations of Black Box Decision Systems	Abstract | PDF
2018-05-24	Structure Learning from Time Series with False Discovery Control	Abstract | PDF
2018-05-24	Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation	Abstract | PDF
2018-05-24	Inverse POMDP: Inferring What You Think from What You Do	Abstract | PDF
2018-05-24	Learning and Testing Causal Models with Interventions	Abstract | PDF
2018-05-24	A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data	Abstract | PDF
2018-05-24	Stable specification search in structural equation model with latent variables	Abstract | PDF
2018-05-23	On self-play computation of equilibrium in poker	Abstract | PDF
2018-05-23	Representation Balancing MDPs for Off-Policy Policy Evaluation	Abstract | PDF
2018-05-22	Multi-task Maximum Entropy Inverse Reinforcement Learning	Abstract | PDF
2018-05-22	Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference	Abstract | PDF
2018-05-22	Confounding-Robust Policy Improvement	Abstract | PDF
2018-05-22	Maximum Causal Tsallis Entropy Imitation Learning	Abstract | PDF
2018-05-21	Multiple Causal Inference with Latent Confounding	Abstract | PDF
2018-05-21	Super learning in the SAS system	Abstract | PDF
2018-05-21	Imitating Latent Policies from Observation	Abstract | PDF
2018-05-21	A Framework and Method for Online Inverse Reinforcement Learning	Abstract | PDF
2018-05-20	Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications	Abstract | PDF
2018-05-20	Stacked Propensity Score Functions for Observational Cohorts with Oversampled Exposed Subjects	Abstract | PDF
2018-05-17	Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension	Abstract | PDF
2018-05-17	The Blessings of Multiple Causes	Abstract | PDF
2018-05-16	Generalized Strucutral Causal Models	Abstract | PDF
2018-05-16	Regularization Learning Networks	Abstract | PDF
2018-05-16	Semi-Blind Inference of Topologies and Dynamical Processes over Graphs	Abstract | PDF
2018-05-15	Causal Reasoning for Algorithmic Fairness	Abstract | PDF
2018-05-14	Faithfully Explaining Rankings in a News Recommender System	Abstract | PDF
2018-05-14	Unsupervised Intuitive Physics from Visual Observations	Abstract | PDF

2018 / 5 / 12

Date	Title	Links
2018-05-08	On the Conditional Logic of Simulation Models	Abstract | PDF
2018-05-05	A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias	Abstract | PDF
2018-05-05	Learning Selfie-Friendly Abstraction from Artistic Style Images	Abstract | PDF
2018-05-04	Causal programming: inference with structural causal models as finding instances of a relation	Abstract | PDF
2018-05-04	Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks	Abstract | PDF
2018-05-03	Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback	Abstract | PDF
2018-05-02	Convolutional Sequence to Sequence Model for Human Dynamics	Abstract | PDF
2018-04-30	Counterfactual Learning-to-Rank for Additive Metrics and Deep Models	Abstract | PDF
2018-04-28	Data science is science's second chance to get causal inference right: A classification of data science tasks	Abstract | PDF
2018-04-24	Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations	Abstract | PDF
2018-04-24	Mask-aware Photorealistic Face Attribute Manipulation	Abstract | PDF
2018-04-18	Forecasting the presence and intensity of hostility on Instagram using linguistic and social features	Abstract | PDF
2018-04-17	PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning	Abstract | PDF
2018-04-16	Im2Struct: Recovering 3D Shape Structure from a Single RGB Image	Abstract | PDF
2018-04-15	The EcoLexicon Semantic Sketch Grammar: from Knowledge Patterns to Word Sketches	Abstract | PDF
2018-04-14	An interpretable LSTM neural network for autoregressive exogenous model	Abstract | PDF
2018-04-14	General-purpose validation and model selection when estimating individual treatment effects	Abstract | PDF
2018-04-12	Causal Inference via Kernel Deviance Measures	Abstract | PDF
2018-04-12	Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI	Abstract | PDF
2018-04-12	Causal Generative Domain Adaptation Networks	Abstract | PDF
2018-04-11	AFA-PredNet: The action modulation within predictive coding	Abstract | PDF
2018-04-11	Reference-less Measure of Faithfulness for Grammatical Error Correction	Abstract | PDF
2018-04-10	Personalization of Health Interventions using Cluster-Based Reinforcement Learning	Abstract | PDF
2018-04-10	A Mathematical Framework for Superintelligent Machines	Abstract | PDF
2018-04-09	Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform	Abstract | PDF
2018-04-08	Expressway visibility estimation based on image entropy and piecewise stationary time series analysis	Abstract | PDF
2018-04-04	Stochastic Adversarial Video Prediction	Abstract | PDF
2018-03-31	Collaborative targeted inference from continuously indexed nuisance parameter estimators	Abstract | PDF
2018-03-30	Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems	Abstract | PDF
2018-03-29	Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond	Abstract | PDF
2018-03-28	Supervising Feature Influence	Abstract | PDF
2018-03-28	Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting	Abstract | PDF
2018-03-24	Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection	Abstract | PDF
2018-03-23	From Random Differential Equations to Structural Causal Models: the stochastic case	Abstract | PDF
2018-03-21	Efficient Structure Learning and Sampling of Bayesian Networks	Abstract | PDF
2018-03-21	Causal Inference on Discrete Data via Estimating Distance Correlations	Abstract | PDF
2018-03-19	Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation	Abstract | PDF
2018-03-19	Adversarial Generalized Method of Moments	Abstract | PDF
2018-03-19	Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures	Abstract | PDF
2018-03-17	Offloading over Time-Varying Channels in Wireless Powered Networks	Abstract | PDF
2018-03-16	Coordination via predictive assistants from a game-theoretic view	Abstract | PDF
2018-03-15	Learned Iterative Decoding for Lossy Image Compression Systems	Abstract | PDF
2018-03-15	Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models	Abstract | PDF

2018 / 3 / 15

Date	Title	Links
2018-03-13	SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning	Abstract | PDF
2018-03-11	Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models	Abstract | PDF
2018-03-10	ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting	Abstract | PDF
2018-03-10	A Minimax Surrogate Loss Approach to Conditional Difference Estimation	Abstract | PDF
2018-03-05	On Discrimination Discovery and Removal in Ranked Data using Causal Graph	Abstract | PDF
2018-03-02	Detecting non-causal artifacts in multivariate linear regression models	Abstract | PDF
2018-03-01	Deep Learning for Causal Inference	Abstract | PDF
2018-02-28	Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework	Abstract | PDF
2018-02-28	Computational Theories of Curiosity-Driven Learning	Abstract | PDF
2018-02-28	Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions	Abstract | PDF
2018-02-26	Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model	Abstract | PDF
2018-02-26	Disentangling the independently controllable factors of variation by interacting with the world	Abstract | PDF
2018-02-25	A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection	Abstract | PDF
2018-02-23	Is Generator Conditioning Causally Related to GAN Performance?	Abstract | PDF
2018-02-23	Learning Optimal Policies from Observational Data	Abstract | PDF
2018-02-23	Double/De-Biased Machine Learning Using Regularized Riesz Representers	Abstract | PDF
2018-02-23	Learning Weighted Representations for Generalization Across Designs	Abstract | PDF
2018-02-23	Faithful Semantical Embedding of a Dyadic Deontic Logic in HOL	Abstract | PDF
2018-02-22	Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus	Abstract | PDF
2018-02-22	Learning Causally-Generated Stationary Time Series	Abstract | PDF
2018-02-22	Path-Specific Counterfactual Fairness	Abstract | PDF
2018-02-20	How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like	Abstract | PDF
2018-02-19	Analysis of Cause-Effect Inference via Regression Errors	Abstract | PDF
2018-02-19	Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration	Abstract | PDF
2018-02-19	Heron Inference for Bayesian Graphical Models	Abstract | PDF
2018-02-18	Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism	Abstract | PDF

2018 / 2 / 17

Date	Title	Links
2018-02-15	DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training	Abstract | PDF
2018-02-15	Reducing over-clustering via the powered Chinese restaurant process	Abstract | PDF
2018-02-14	Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis	Abstract | PDF
2018-02-14	Prophit: Causal inverse classification for multiple continuously valued treatment policies	Abstract | PDF
2018-02-06	Granger-causal Attentive Mixtures of Experts	Abstract | PDF
2018-02-06	How to Make Causal Inferences Using Texts	Abstract | PDF
2018-02-02	Interpretable Deep Convolutional Neural Networks via Meta-learning	Abstract | PDF
2018-02-02	Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations	Abstract | PDF
2018-01-31	Nonparametric Quantile-Based Causal Discovery	Abstract | PDF
2018-01-25	Discovering Markov Blanket from Multiple interventional Datasets	Abstract | PDF
2018-01-22	Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data	Abstract | PDF
2018-01-22	Offline A/B testing for Recommender Systems	Abstract | PDF
2018-01-16	The Role of Conditional Independence in the Evolution of Intelligent Systems	Abstract | PDF
2018-01-16	Reblur2Deblur: Deblurring Videos via Self-Supervised Learning	Abstract | PDF
2018-01-12	Bayesian Quadrature for Multiple Related Integrals	Abstract | PDF
2018-01-11	Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution	Abstract | PDF
2018-01-11	Counterfactual equivalence for POMDPs, and underlying deterministic environments	Abstract | PDF
2018-01-10	Reasoning about Unforeseen Possibilities During Policy Learning	Abstract | PDF
2018-01-09	A Formalization of Kant's Second Formulation of the Categorical Imperative	Abstract | PDF
2018-01-02	Accounting for hidden common causes when inferring cause and effect from observational data	Abstract | PDF
2018-01-01	Local Causal States and Discrete Coherent Structures	Abstract | PDF

2017 / 12 / 31

Date	Title	Links
2017-12-28	Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels	Abstract | PDF
2017-12-28	PixelSNAIL: An Improved Autoregressive Generative Model	Abstract | PDF
2017-12-24	Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms	Abstract | PDF
2017-12-22	Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration	Abstract | PDF
2017-12-21	Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment	Abstract | PDF
2017-12-21	Robust Detection of Covariate-Treatment Interactions in Clinical Trials	Abstract | PDF
2017-12-21	Truncated Variational Sampling for "Black Box" Optimization of Generative Models	Abstract | PDF
2017-12-13	Learning Objectives for Treatment Effect Estimation	Abstract | PDF
2017-12-13	Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments	Abstract | PDF
2017-12-12	Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis	Abstract | PDF
2017-12-12	Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks	Abstract | PDF
2017-12-10	Causal Inference for Observational Time-Series with Encoder-Decoder Networks	Abstract | PDF
2017-12-08	Crime prediction through urban metrics and statistical learning	Abstract | PDF
2017-12-07	A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations	Abstract | PDF
2017-12-06	Learning General Latent-Variable Graphical Models with Predictive Belief Propagation and Hilbert Space Embeddings	Abstract | PDF
2017-12-05	Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human--like learning	Abstract | PDF
2017-12-04	Inferring agent objectives at different scales of a complex adaptive system	Abstract | PDF
2017-12-04	Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation	Abstract | PDF
2017-12-04	Learning Independent Causal Mechanisms	Abstract | PDF
2017-12-03	Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems	Abstract | PDF
2017-12-01	Prediction-Constrained Topic Models for Antidepressant Recommendation	Abstract | PDF
2017-12-01	Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference	Abstract | PDF
2017-11-30	Radially-Distorted Conjugate Translations	Abstract | PDF
2017-11-29	Causality Refined Diagnostic Prediction	Abstract | PDF
2017-11-28	A reinforcement learning algorithm for building collaboration in multi-agent systems	Abstract | PDF
2017-11-28	CAR-Net: Clairvoyant Attentive Recurrent Network	Abstract | PDF
2017-11-26	Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary	Abstract | PDF
2017-11-24	Causal Generative Neural Networks	Abstract | PDF
2017-11-23	Identification of Strong Edges in AMP Chain Graphs	Abstract | PDF
2017-11-23	Counterfactual Learning for Machine Translation: Degeneracies and Solutions	Abstract | PDF
2017-11-22	Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition	Abstract | PDF
2017-11-22	Causal nearest neighbor rules for optimal treatment regimes	Abstract | PDF
2017-11-22	An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery	Abstract | PDF
2017-11-21	Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding	Abstract | PDF
2017-11-20	Better Agnostic Clustering Via Relaxed Tensor Norms	Abstract | PDF
2017-11-19	Estimation Considerations in Contextual Bandits	Abstract | PDF
2017-11-18	Robust Synthetic Control	Abstract | PDF
2017-11-16	Using Noisy Extractions to Discover Causal Knowledge	Abstract | PDF
2017-11-15	Good and safe uses of AI Oracles	Abstract | PDF
2017-11-14	Simulating Action Dynamics with Neural Process Networks	Abstract | PDF
2017-11-14	False Positive and Cross-relation Signals in Distant Supervision Data	Abstract | PDF
2017-11-14	The Multi-layer Information Bottleneck Problem	Abstract | PDF
2017-11-14	Unified Pragmatic Models for Generating and Following Instructions	Abstract | PDF
2017-11-13	Faithful to the Original: Fact Aware Neural Abstractive Summarization	Abstract | PDF
2017-11-11	A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction	Abstract | PDF
2017-11-10	Document Context Neural Machine Translation with Memory Networks	Abstract | PDF
2017-11-09	Exploiting ConvNet Diversity for Flooding Identification	Abstract | PDF
2017-11-09	SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements	Abstract | PDF
2017-11-09	Regret Minimization in Behaviorally-Constrained Zero-Sum Games	Abstract | PDF
2017-11-03	Partial correlation graphs and the neighborhood lattice	Abstract | PDF
2017-11-02	A Universal Marginalizer for Amortized Inference in Generative Models	Abstract | PDF
2017-11-01	TasNet: time-domain audio separation network for real-time, single-channel speech separation	Abstract | PDF
2017-11-01	Beautiful and damned. Combined effect of content quality and social ties on user engagement	Abstract | PDF
2017-11-01	Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR	Abstract | PDF
2017-11-01	Orthogonal Machine Learning: Power and Limitations	Abstract | PDF
2017-10-31	Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset	Abstract | PDF
2017-10-31	Grouping-By-ID: Guarding Against Adversarial Domain Shifts	Abstract | PDF
2017-10-31	Regret Minimization for Partially Observable Deep Reinforcement Learning	Abstract | PDF
2017-10-30	An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition	Abstract | PDF
2017-10-30	Implicit Causal Models for Genome-wide Association Studies	Abstract | PDF
2017-10-25	Sufficient and necessary causation are dual	Abstract | PDF
2017-10-24	Markov Properties for Graphical Models with Cycles and Latent Variables	Abstract | PDF
2017-10-19	Reti bayesiane per lo studio del fenomeno degli incidenti stradali tra i giovani in Toscana	Abstract | PDF
2017-10-19	SLING: A framework for frame semantic parsing	Abstract | PDF
2017-10-16	Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect	Abstract | PDF
2017-10-13	Functional Decision Theory: A New Theory of Instrumental Rationality	Abstract | PDF
2017-10-13	Potential Conditional Mutual Information: Estimators, Properties and Applications	Abstract | PDF
2017-10-13	Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields	Abstract | PDF
2017-10-13	Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions	Abstract | PDF
2017-10-11	Counterfactual Conditionals in Quantified Modal Logic	Abstract | PDF
2017-10-10	Inference on Auctions with Weak Assumptions on Information	Abstract | PDF
2017-10-10	ACCBench: A Framework for Comparing Causality Algorithms	Abstract | PDF
2017-10-10	Prior Knowledge based mutation prioritization towards causal variant finding in rare disease	Abstract | PDF
2017-10-10	Counterfactual Causality from First Principles?	Abstract | PDF
2017-10-10	Causality and Temporal Dependencies in the Design of Fault Management Systems	Abstract | PDF
2017-10-10	On Preemption and Overdetermination in Formal Theories of Causality	Abstract | PDF
2017-10-09	Massive Open Online Courses Temporal Profiling for Dropout Prediction	Abstract | PDF
2017-10-04	Counterfactual Language Model Adaptation for Suggesting Phrases	Abstract | PDF
2017-10-03	Simulating Structure-from-Motion	Abstract | PDF
2017-10-02	Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks	Abstract | PDF
2017-09-26	Telling Cause from Effect using MDL-based Local and Global Regression	Abstract | PDF
2017-09-19	Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning	Abstract | PDF
2017-09-19	Estimating Mutual Information for Discrete-Continuous Mixtures	Abstract | PDF
2017-09-16	A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions	Abstract | PDF
2017-09-15	Embedding Deep Networks into Visual Explanations	Abstract | PDF
2017-09-15	Granger Mediation Analysis of Multiple Time Series with an Application to fMRI	Abstract | PDF
2017-09-15	Learning Functional Causal Models with Generative Neural Networks	Abstract | PDF
2017-09-14	Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials	Abstract | PDF
2017-09-13	A Comparison of Public Causal Search Packages on Linear, Gaussian Data with No Latent Variables	Abstract | PDF
2017-09-13	On labeling Android malware signatures using minhashing and further classification with Structural Equation Models	Abstract | PDF
2017-09-11	Budgeted Experiment Design for Causal Structure Learning	Abstract | PDF
2017-09-11	Fairness Testing: Testing Software for Discrimination	Abstract | PDF
2017-09-09	Steering Output Style and Topic in Neural Response Generation	Abstract | PDF
2017-09-08	Causality-Aided Falsification	Abstract | PDF
2017-09-07	Deep Learning the Physics of Transport Phenomena	Abstract | PDF
2017-09-07	Learning from lions: inferring the utility of agents from their trajectories	Abstract | PDF
2017-09-06	CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training	Abstract | PDF
2017-09-05	Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information	Abstract | PDF
2017-09-03	Estimation of interventional effects of features on prediction	Abstract | PDF
2017-09-03	Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks	Abstract | PDF
2017-08-30	Unsupervised Induction of Contingent Event Pairs from Film Scenes	Abstract | PDF
2017-08-30	Inferring Narrative Causality between Event Pairs in Films	Abstract | PDF
2017-08-30	Inference of Fine-Grained Event Causality from Blogs and Films	Abstract | PDF
2017-08-30	Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events	Abstract | PDF
2017-08-23	Massively-Parallel Feature Selection for Big Data	Abstract | PDF
2017-08-22	What caused what? An irreducible account of actual causation	Abstract | PDF
2017-08-22	Learning Combinations of Sigmoids Through Gradient Estimation	Abstract | PDF
2017-08-22	On Image Classification: Correlation v.s. Causality	Abstract | PDF
2017-08-20	Perceptual audio loss function for deep learning	Abstract | PDF
2017-08-18	Comparative Benchmarking of Causal Discovery Techniques	Abstract | PDF
2017-08-16	Maximum A Posteriori Inference in Sum-Product Networks	Abstract | PDF
2017-08-13	Mahalanonbis Distance Informed by Clustering	Abstract | PDF
2017-08-11	Learning from Noisy Label Distributions	Abstract | PDF
2017-08-09	Interacting with Acoustic Simulation and Fabrication	Abstract | PDF
2017-08-08	Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis	Abstract | PDF
2017-08-08	A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence	Abstract | PDF
2017-08-07	Why adaptively collected data have negative bias and how to correct for it	Abstract | PDF
2017-08-05	A causation coefficient and taxonomy of correlation/causation relationships	Abstract | PDF
2017-08-03	Independently Controllable Factors	Abstract | PDF
2017-08-02	Latent tree models	Abstract | PDF
2017-07-31	Interpretable Active Learning	Abstract | PDF
2017-07-31	Cost and Actual Causation	Abstract | PDF
2017-07-28	Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation	Abstract | PDF
2017-07-27	Detecting and Explaining Causes From Text For a Time Series Event	Abstract | PDF
2017-07-26	Making the best of data derived from a daily practice in clinical legal medicine for research and practice - the example of Spe3dLab	Abstract | PDF
2017-07-26	Using Program Induction to Interpret Transition System Dynamics	Abstract | PDF
2017-07-23	Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models	Abstract | PDF
2017-07-20	The inflation technique solves completely the classical inference problem	Abstract | PDF
2017-07-20	Causal Transfer Learning	Abstract | PDF
2017-07-20	3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks	Abstract | PDF
2017-07-19	Computing LPMLN Using ASP and MLN Solvers	Abstract | PDF
2017-07-19	FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference	Abstract | PDF
2017-07-19	From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models	Abstract | PDF
2017-07-18	On Adaptive Propensity Score Truncation in Causal Inference	Abstract | PDF
2017-07-17	Trial without Error: Towards Safe Reinforcement Learning via Human Intervention	Abstract | PDF
2017-07-15	Learning linear structural equation models in polynomial time and sample complexity	Abstract | PDF
2017-07-13	Predicting Abandonment in Online Coding Tutorials	Abstract | PDF
2017-07-13	Fast Restricted Causal Inference	Abstract | PDF
2017-07-11	Learning like humans with Deep Symbolic Networks	Abstract | PDF
2017-07-11	CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis	Abstract | PDF
2017-07-09	Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition	Abstract | PDF
2017-07-06	A causal framework for explaining the predictions of black-box sequence-to-sequence models	Abstract | PDF
2017-07-05	Machine Learning Tests for Effects on Multiple Outcomes	Abstract | PDF
2017-07-05	SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee	Abstract | PDF
2017-07-04	Causal Consistency of Structural Equation Models	Abstract | PDF
2017-07-01	Some methods for heterogeneous treatment effect estimation in high-dimensions	Abstract | PDF
2017-06-30	Probabilistic Active Learning of Functions in Structural Causal Models	Abstract | PDF
2017-06-30	Restricted Causal Inference Algorithm	Abstract | PDF
2017-06-30	Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data	Abstract | PDF
2017-06-26	On conditional parity as a notion of non-discrimination in machine learning	Abstract | PDF
2017-06-19	Optimising the topological information of the $A_\infty$-persistence groups	Abstract | PDF
2017-06-19	Deep Counterfactual Networks with Propensity-Dropout	Abstract | PDF
2017-06-16	An online sequence-to-sequence model for noisy speech recognition	Abstract | PDF
2017-06-15	Extracting Formal Models from Normative Texts	Abstract | PDF
2017-06-14	Bias and high-dimensional adjustment in observational studies of peer effects	Abstract | PDF
2017-06-14	Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics	Abstract | PDF
2017-06-10	Causal Discovery in the Presence of Measurement Error: Identifiability Conditions	Abstract | PDF
2017-06-09	TextureGAN: Controlling Deep Image Synthesis with Texture Patches	Abstract | PDF
2017-06-08	A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform	Abstract | PDF
2017-06-08	Avoiding Discrimination through Causal Reasoning	Abstract | PDF
2017-06-07	Network Sketching: Exploiting Binary Structure in Deep CNNs	Abstract | PDF
2017-06-06	A Minimal Solution for Two-view Focal-length Estimation using Two Affine Correspondences	Abstract | PDF
2017-06-02	Learning causal Bayes networks using interventional path queries in polynomial time and sample complexity	Abstract | PDF
2017-05-30	A Tale of Two Animats: What does it take to have goals?	Abstract | PDF
2017-05-30	Strength Factors: An Uncertainty System for a Quantified Modal Logic	Abstract | PDF
2017-05-29	Fair Inference On Outcomes	Abstract | PDF
2017-05-29	Learning Belief Network Structure From Data under Causal Insufficiency	Abstract | PDF
2017-05-27	Targeted Learning with Daily EHR Data	Abstract | PDF
2017-05-27	Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading	Abstract | PDF
2017-05-26	Learning Causal Structures Using Regression Invariance	Abstract | PDF
2017-05-25	Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion	Abstract | PDF
2017-05-24	Cultural Diffusion and Trends in Facebook Photographs	Abstract | PDF
2017-05-24	Counterfactual Multi-Agent Policy Gradients	Abstract | PDF
2017-05-24	Causal Effect Inference with Deep Latent-Variable Models	Abstract | PDF
2017-05-23	Explaining Transition Systems through Program Induction	Abstract | PDF
2017-05-22	Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs	Abstract | PDF
2017-05-21	Instrument-Armed Bandits	Abstract | PDF
2017-05-20	Bayesian Belief Updating of Spatiotemporal Seizure Dynamics	Abstract | PDF
2017-05-19	RankPL: A Qualitative Probabilistic Programming Language	Abstract | PDF
2017-05-19	Model-Robust Counterfactual Prediction Method	Abstract | PDF
2017-05-19	Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm	Abstract | PDF
2017-05-16	GP CaKe: Effective brain connectivity with causal kernels	Abstract | PDF
2017-05-16	New Reinforcement Learning Using a Chaotic Neural Network for Emergence of "Thinking" - "Exploration" Grows into "Thinking" through Learning -	Abstract | PDF
2017-05-15	Constrained Bayesian Networks: Theory, Optimization, and Applications	Abstract | PDF
2017-05-11	Reducing Bias in Production Speech Models	Abstract | PDF
2017-05-05	Group invariance principles for causal generative models	Abstract | PDF
2017-05-02	Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California	Abstract | PDF
2017-04-28	Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS)	Abstract | PDF
2017-04-26	Identifying Similarities in Epileptic Patients for Drug Resistance Prediction	Abstract | PDF
2017-04-24	Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets	Abstract | PDF
2017-04-24	Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations	Abstract | PDF
2017-04-19	Generative Face Completion	Abstract | PDF
2017-04-19	Derivation of the Asymptotic Eigenvalue Distribution for Causal 2D-AR Models under Upscaling	Abstract | PDF
2017-04-17	The Causality/Repair Connection in Databases: Causality-Programs	Abstract | PDF
2017-04-10	Unsupervised prototype learning in an associative-memory network	Abstract | PDF
2017-04-10	Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes	Abstract | PDF
2017-04-09	Mixed Graphical Models for Causal Analysis of Multi-modal Variables	Abstract | PDF
2017-04-06	Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions	Abstract | PDF
2017-04-06	Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness	Abstract | PDF
2017-04-03	A comparative study of counterfactual estimators	Abstract | PDF
2017-03-31	The Risk of Machine Learning	Abstract | PDF
2017-03-31	A New Measure of Conditional Dependence	Abstract | PDF
2017-03-30	Reliable Decision Support using Counterfactual Models	Abstract | PDF
2017-03-30	Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention	Abstract | PDF
2017-03-27	A Visual Measure of Changes to Weighted Self-Organizing Map Patterns	Abstract | PDF
2017-03-20	Counterfactual Fairness	Abstract | PDF
2017-03-20	Foundations for a Probabilistic Event Calculus	Abstract | PDF
2017-03-20	Artificial Intelligence and Economic Theories	Abstract | PDF
2017-03-17	Effective Evaluation using Logged Bandit Feedback from Multiple Loggers	Abstract | PDF
2017-03-16	Causal Inference through the Method of Direct Estimation	Abstract | PDF
2017-03-16	Generalised Reichenbachian Common Cause Systems	Abstract | PDF
2017-03-15	Deep learning with convolutional neural networks for EEG decoding and visualization	Abstract | PDF
2017-03-14	A statistical model for aggregating judgments by incorporating peer predictions	Abstract | PDF
2017-03-13	Probabilistic Matching: Causal Inference under Measurement Errors	Abstract | PDF
2017-03-11	Learning Large-Scale Bayesian Networks with the sparsebn Package	Abstract | PDF
2017-03-10	Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations	Abstract | PDF
2017-03-09	Counterfactuals, indicative conditionals, and negation under uncertainty: Are there cross-cultural differences?	Abstract | PDF
2017-03-09	Abductive, Causal, and Counterfactual Conditionals Under Incomplete Probabilistic Knowledge	Abstract | PDF
2017-03-08	Efficient Simulation of Financial Stress Testing Scenarios with Suppes-Bayes Causal Networks	Abstract | PDF
2017-03-08	Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks	Abstract | PDF
2017-03-08	Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks	Abstract | PDF
2017-03-08	Cost-Optimal Learning of Causal Graphs	Abstract | PDF
2017-03-03	Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning	Abstract | PDF
2017-03-03	Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity	Abstract | PDF
2017-02-28	Achieving non-discrimination in prediction	Abstract | PDF
2017-02-28	Do Reichenbachian Common Cause Systems of Arbitrary Finite Size Exist?	Abstract | PDF
2017-02-27	Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments	Abstract | PDF
2017-02-27	Semi-parametric Network Structure Discovery Models	Abstract | PDF
2017-02-23	Causal Discovery Using Proxy Variables	Abstract | PDF
2017-02-22	Causal Inference by Stochastic Complexity	Abstract | PDF
2017-02-22	Counterfactual Control for Free from Generative Models	Abstract | PDF
2017-02-22	Social Learning and Diffusion of Pervasive Goods: An Empirical Study of an African App Store	Abstract | PDF
2017-02-21	Causal Inference on Multivariate and Mixed-Type Data	Abstract | PDF
2017-02-16	Theoretical and Practical Advances on Smoothing for Extensive-Form Games	Abstract | PDF
2017-02-15	Simple rules for complex decisions	Abstract | PDF
2017-02-13	The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study	Abstract | PDF
2017-02-13	Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery	Abstract | PDF
2017-02-10	$L_2$Boosting for Economic Applications	Abstract | PDF
2017-02-09	Efficient Policy Learning	Abstract | PDF
2017-02-08	Causal Regularization	Abstract | PDF
2017-02-07	Trimming the Independent Fat: Sufficient Statistics, Mutual Information, and Predictability from Effective Channel States	Abstract | PDF
2017-02-03	Energy Prediction using Spatiotemporal Pattern Networks	Abstract | PDF
2017-01-30	Interaction Information for Causal Inference: The Case of Directed Triangle	Abstract | PDF
2017-01-30	Double/Debiased/Neyman Machine Learning of Treatment Effects	Abstract | PDF
2017-01-28	Entropic Causality and Greedy Minimum Entropy Coupling	Abstract | PDF
2017-01-26	The Causal Frame Problem: An Algorithmic Perspective	Abstract | PDF
2017-01-26	Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case	Abstract | PDF
2017-01-25	Does Weather Matter? Causal Analysis of TV Logs	Abstract | PDF
2017-01-23	Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables	Abstract | PDF
2017-01-19	Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods	Abstract | PDF
2017-01-11	Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines	Abstract | PDF
2017-01-10	Bidirectional American Sign Language to English Translation	Abstract | PDF
2017-01-10	Identifying Best Interventions through Online Importance Sampling	Abstract | PDF
2017-01-09	Temporal scale selection in time-causal scale space	Abstract | PDF
2017-01-08	Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis	Abstract | PDF
2017-01-05	Crime Topic Modeling	Abstract | PDF
2017-01-04	Learning causal effects from many randomized experiments using regularized instrumental variables	Abstract | PDF
2017-01-03	Semidefinite tests for latent causal structures	Abstract | PDF
2017-01-03	Deep Convolutional Neural Networks for Pairwise Causality	Abstract | PDF