On correlation and budget constraints in model−based bandit optimization with application to automatic machine learning
We address the problem of finding the maximizer of a nonlinear smooth function, that can only be evaluated point-wise, subject to constraints on the number of permitted function evaluations. This problem is also known as fixed-budget best arm identification in the multi-armed bandit literature. We i...
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| Format: | Conference item |
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2014
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