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dc.contributor.authorKawaguchi, Kenji
dc.contributor.authorKaelbling, Leslie P
dc.contributor.authorLozano-Perez, Tomas
dc.date.accessioned2018-02-05T15:15:28Z
dc.date.available2018-02-05T15:15:28Z
dc.date.issued2015-12
dc.identifier.urihttp://hdl.handle.net/1721.1/113410
dc.description.abstractThis 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-consuming and hard to implement in practice. Also, the existing Bayesian optimization method with exponential convergence requires access to the delta-cover sampling, which was considered to be impractical. Our approach eliminates both requirements and achieves an exponential convergence rate.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 142092)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-14-1-048)en_US
dc.description.sponsorshipUnited States. Army Research Office (Grant W911NF141043)en_US
dc.language.isoen_US
dc.publisherNeural Information Processing Systems Foundation,en_US
dc.relation.isversionofhttps://papers.nips.cc/paper/5715-bayesian-optimization-with-exponential-convergenceen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceNeural Information Processing Systems (NIPS)en_US
dc.titleBayesian optimization with exponential convergenceen_US
dc.typeArticleen_US
dc.identifier.citationKawaguchi, Kenji, Leslie Pack Kaelbling, and Tomás Lozano-Pérez. "Bayesian Optimization with Exponential Convergence." Advances in Neural Information Processing Systems 28 (NIPS 2015), 7-12 December, 2015, Montreal, Canada, Neural Information Processing Systems Foundation, 2015. © 2015 Neural Information Processing Systems Foundationen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorKawaguchi, Kenji
dc.contributor.mitauthorKaelbling, Leslie P
dc.contributor.mitauthorLozano-Perez, Tomas
dc.relation.journalAdvances in Neural Information Processing Systems 28 (NIPS 2015)en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsKawaguchi, Kenji; Kaelbling, Leslie Pack; Lozano-Pérez, Tomásen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1839-7504
dc.identifier.orcidhttps://orcid.org/0000-0001-6054-7145
dc.identifier.orcidhttps://orcid.org/0000-0002-8657-2450
mit.licensePUBLISHER_POLICYen_US


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