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| Show HN: A radically more scalable alternative to Bayesian Optimization (github.com) | ||
| recommended by 2 users | 2018 | 96 points by chroem- | machine learning | original thread | | ||
| 2 users recommended this thread. What they said: |
| rsp1984 Feb 22, 2018 | on: A Global Optimization Algorithm Worth Using | context |
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nonbel Apr 14, 2018 | on: Types of Regression Analysis | context
I guess at its root the problem may just be how much compute is available to throw at the optimization. Alternatively there could be more efficient algos... I looked into but never fully tested this, it seemed promising: https://news.ycombinator.com/item?id=16241659 |
Absolutely. Adding to the list, SIMPLE [1] was recently trending on HN [2]. It looks very applicable to hyperparameter optimization.
[1] https://github.com/chrisstroemel/Simple
[2] https://news.ycombinator.com/item?id=16241659