Contextual Gaussian Process Bandit Optimization
dc.contributor.author
Krause, Andreas
dc.contributor.author
Ong, Cheng S.
dc.contributor.editor
Shawe-Taylor, John
dc.contributor.editor
Zemel, Richard S.
dc.contributor.editor
Bartlett, Peter L.
dc.contributor.editor
Pereira, Fernando C.N.
dc.contributor.editor
Weinberger, Kilian Q.
dc.date.accessioned
2018-06-12T12:01:49Z
dc.date.available
2017-06-09T18:22:36Z
dc.date.available
2018-06-12T12:01:49Z
dc.date.issued
2012
dc.identifier.isbn
978-1-618-39599-3
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/44002
dc.language.iso
en
en_US
dc.publisher
Curran
en_US
dc.title
Contextual Gaussian Process Bandit Optimization
en_US
dc.type
Conference Paper
dc.date.published
2011-12
ethz.book.title
Advances in Neural Information Processing Systems 24
en_US
ethz.pages.start
2447
en_US
ethz.pages.end
2455
en_US
ethz.event
25th Annual Conference on Neural Information Processing Systems (NIPS 2011)
en_US
ethz.event.location
Granada, Spain
en_US
ethz.event.date
December 12-15, 2011
en_US
ethz.grant
Gaussian Process Bandit Optimization: Theory and Applications
en_US
ethz.identifier.nebis
000527467
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::03659 - Buhmann, Joachim M. (emeritus) / Buhmann, Joachim M. (emeritus)
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::03659 - Buhmann, Joachim M. (emeritus) / Buhmann, Joachim M. (emeritus)
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/4487-contextual-gaussian-process-bandit-optimization
ethz.grant.agreementno
137971
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projektförderung in Mathematik, Natur- und Ingenieurwissenschaften (Abteilung II)
ethz.date.deposited
2017-06-09T18:22:50Z
ethz.source
ECIT
ethz.identifier.importid
imp59364ed3719bc66528
ethz.ecitpid
pub:72664
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-24T09:56:49Z
ethz.rosetta.lastUpdated
2018-06-12T12:01:53Z
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true
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true
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Conference Paper [35301]