A nonparametric conjugate prior distribution for the maximizing argument of a noisy function
dc.contributor.author
Ortega, Pedro A.
dc.contributor.author
Grau-Moya, Jordi
dc.contributor.author
Genewein, Tim
dc.contributor.author
Balduzzi, David
dc.contributor.author
Braun, Daniel
dc.contributor.editor
Bartlett, Peter L.
dc.contributor.editor
Pereira, Fernando C.N.
dc.contributor.editor
Burges, Christoper J.C.
dc.contributor.editor
Bottou, Léon
dc.contributor.editor
Weinberger, Kilian Q.
dc.date.accessioned
2019-10-18T09:50:10Z
dc.date.available
2017-06-10T12:07:43Z
dc.date.available
2019-10-18T09:50:10Z
dc.date.issued
2013
dc.identifier.isbn
978-1-62748-003-1
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/60470
dc.language.iso
en
en_US
dc.publisher
Curran
en_US
dc.title
A nonparametric conjugate prior distribution for the maximizing argument of a noisy function
en_US
dc.type
Conference Paper
ethz.book.title
Advances in Neural Information Processing Systems 25
en_US
ethz.pages.start
3005
en_US
ethz.pages.end
3013
en_US
ethz.event
26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
en_US
ethz.event.location
Lake Tahoe, NV, USA
en_US
ethz.event.date
December 3-6, 2012
en_US
ethz.identifier.nebis
000527467
ethz.publication.place
Red Hook, NY
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.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.identifier.url
https://papers.nips.cc/paper/4536-a-nonparametric-conjugate-prior-distribution-for-the-maximizing-argument-of-a-noisy-function
ethz.date.deposited
2017-06-10T12:08:17Z
ethz.source
ECIT
ethz.identifier.importid
imp593650232fa4626329
ethz.ecitpid
pub:96574
ethz.eth
no
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-19T10:27:19Z
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2019-10-18T09:50:20Z
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Conference Paper [35280]