Bayesian optimization with exponential convergence

This paper presents a Bayesian optimization method with exponential convergence without the need of auxiliary optimization and without the delta-cover sampling. Most Bayesian optimization methods require auxiliary optimization: an additional non-convex global optimization problem, which can be time-...

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Bibliographic Details
Main Authors: Kawaguchi, Kenji (Contributor), Kaelbling, Leslie P (Contributor), Lozano-Perez, Tomas (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Neural Information Processing Systems Foundation,, 2018-02-05T15:15:28Z.
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