Near-optimal Adaptive Information Acquisition: Theory and Applications
dc.contributor.author
Chen, Yuxin
dc.contributor.supervisor
Krause, Andreas
dc.contributor.supervisor
Buhmann, Joachim M.
dc.contributor.supervisor
Weinberger, Kilian
dc.date.accessioned
2020-04-02T06:09:46Z
dc.date.available
2017-05-24T20:05:28Z
dc.date.available
2017-05-26T06:57:15Z
dc.date.available
2017-05-30T08:50:48Z
dc.date.available
2020-04-02T06:09:46Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/139
dc.identifier.doi
10.3929/ethz-b-000000139
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Near-optimal Adaptive Information Acquisition: Theory and Applications
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
306 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.identifier.diss
24052
en_US
ethz.publication.place
Zurich
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
en_US
ethz.date.deposited
2017-05-24T20:05:28Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-06-02T00:00:00Z
ethz.rosetta.lastUpdated
2021-02-15T09:55:16Z
ethz.rosetta.versionExported
true
ethz.COinS
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Publication type
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Doctoral Thesis [30947]