Bayesian optimization with a finite budget: An approximate dynamic programming approach

We consider the problem of optimizing an expensive objective function when a finite budget of total evaluations is prescribed. In that context, the optimal solution strategy for Bayesian optimization can be formulated as a dynamic programming instance. This results in a complex problem with uncounta...

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Bibliographic Details
Main Authors: Wolpert, David H. (Author), Lam, Remi Roger Alain Paul (Author), Willcox, Karen E (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Lam, Remi (Contributor)
Format: Article
Language:English
Published: Neural Information Processing Systems Foundation, 2018-05-02T15:29:40Z.
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