AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs
dc.contributor.author
Abbati, Gabriele
dc.contributor.author
Wenk, Philippe
dc.contributor.author
Osborne, Michael A.
dc.contributor.author
Krause, Andreas
dc.contributor.author
Schölkopf, Bernhard
dc.contributor.author
Bauer, Stefan
dc.contributor.editor
Chaudhuri, Kamalika
dc.contributor.editor
Salakhutdinov, Ruslan
dc.date.accessioned
2020-02-19T09:42:52Z
dc.date.available
2019-12-15T10:02:29Z
dc.date.available
2019-12-16T07:42:33Z
dc.date.available
2020-02-19T09:42:52Z
dc.date.issued
2019
dc.identifier.issn
2640-3498
dc.identifier.uri
http://hdl.handle.net/20.500.11850/385687
dc.identifier.doi
10.3929/ethz-b-000385687
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
PMLR
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dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.book.title
Proceedings of the 36th International Conference on Machine Learning (ICML 2019)
en_US
ethz.journal.title
Proceedings of Machine Learning Research
ethz.journal.volume
97
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ethz.pages.start
1
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ethz.pages.end
10
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ethz.size
12 p. accepted version
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ethz.version.deposit
acceptedVersion
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ethz.event
36th International Conference on Machine Learning (ICML 2019)
en_US
ethz.event.location
Long Beach, CA, USA
en_US
ethz.event.date
June 10-15, 2019
en_US
ethz.notes
Conference lecture held on June 12, 2019
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ethz.grant
Reliable Data-Driven Decision Making in Cyber-Physical Systems
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ethz.publication.place
Cambridge, MA
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ethz.publication.status
published
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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
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::09664 - Schölkopf, Bernhard / Schölkopf, Bernhard
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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.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::09664 - Schölkopf, Bernhard / Schölkopf, Bernhard
ethz.identifier.url
http://proceedings.mlr.press/v97/abbati19a.html
ethz.grant.agreementno
815943
ethz.grant.agreementno
815943
ethz.grant.fundername
EC
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.grant.program
H2020
ethz.relation.hasPart
https://slideslive.com/38917895/gaussian-processes
ethz.date.deposited
2019-12-15T10:02:39Z
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FORM
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yes
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ethz.availability
Open access
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ethz.rosetta.installDate
2019-12-16T07:42:48Z
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2021-02-15T08:09:10Z
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