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Add a sentence to say can use Hyperband/ASHA together with quasi-random search #70

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Add a sentence to say can use Hyperband/ASHA together with quasi-random search #70

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Update README.md
fzyzcjy Jun 18, 2024
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Update README.md
fzyzcjy Jun 18, 2024
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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -1735,6 +1735,10 @@ multi-host training can make it very easy to introduce bugs!*
trials to run in parallel and we can afford to run many trials in sequence,
Bayesian optimization becomes much more attractive despite making our tuning
results harder to interpret.
- Both quasi-random search and Bayesian optimization can be used together with
[Hyperband](https://jmlr.org/papers/volume18/16-558/16-558.pdf) /
[ASHA](https://arxiv.org/abs/1810.05934), which quickly discard points that
aren't promising from the search.

[^3]: Ben Recht and Kevin Jamieson
[pointed out](http://www.argmin.net/2016/06/20/hypertuning/) how strong
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