Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
dc.contributor.author
Bogunovic, Ilija
dc.contributor.author
Scarlett, Jonathan
dc.contributor.author
Krause, Andreas
dc.contributor.author
Cevher, Volkan
dc.contributor.editor
Lee, Daniel D.
dc.contributor.editor
von Luxburg, Ulrike
dc.contributor.editor
Garnett, Roman
dc.contributor.editor
Sugiyama, Masashi
dc.contributor.editor
Guyon, Isabelle
dc.date.accessioned
2018-06-08T06:33:25Z
dc.date.available
2017-06-12T19:10:31Z
dc.date.available
2018-06-07T13:10:14Z
dc.date.available
2018-06-08T06:33:25Z
dc.date.issued
2017
dc.identifier.isbn
978-1-5108-3881-9
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/127079
dc.language.iso
en
en_US
dc.publisher
Curran
en_US
dc.title
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
en_US
dc.type
Conference Paper
dc.date.published
2016-12
ethz.book.title
Advances in Neural Information Processing Systems 29
en_US
ethz.pages.start
1515
en_US
ethz.pages.end
1523
en_US
ethz.event
30th Annual Conference on Neural Information Processing Systems (NIPS 2016)
en_US
ethz.event.location
Barcelona, Spain
en_US
ethz.event.date
December 4-9, 2016
en_US
ethz.publication.place
Red Hook, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
ethz.identifier.url
http://papers.nips.cc/paper/6080-truncated-variance-reduction-a-unified-approach-to-bayesian-optimization-and-level-set-estimation
ethz.date.deposited
2017-06-12T19:11:22Z
ethz.source
ECIT
ethz.identifier.importid
imp5936552a5071811962
ethz.ecitpid
pub:189882
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-06-07T13:10:16Z
ethz.rosetta.lastUpdated
2018-06-08T06:33:26Z
ethz.rosetta.versionExported
true
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