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dc.contributor.author
Dünner, Celestine
dc.contributor.author
Lucchi, Aurélien
dc.contributor.author
Gargiani, Matilde
dc.contributor.author
Bian, An
dc.contributor.author
Hofmann, Thomas
dc.contributor.author
Jäggi, Martin
dc.contributor.editor
Dy, Jennifer
dc.contributor.editor
Krause, Andreas
dc.date.accessioned
2020-02-19T11:57:58Z
dc.date.available
2018-12-06T21:13:27Z
dc.date.available
2018-12-12T16:23:34Z
dc.date.available
2018-12-12T16:26:09Z
dc.date.available
2020-02-19T11:57:58Z
dc.date.issued
2018
dc.identifier.issn
2640-3498
dc.identifier.uri
http://hdl.handle.net/20.500.11850/309288
dc.language.iso
en
en_US
dc.publisher
PMLR
en_US
dc.title
A Distributed Second-Order Algorithm You Can Trust
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the 35th International Conference on Machine Learning (ICML 2018)
en_US
ethz.journal.title
Proceedings of Machine Learning Research
ethz.journal.volume
80
en_US
ethz.pages.start
1358
en_US
ethz.pages.end
1366
en_US
ethz.event
35th International Conference on Machine Learning (ICML 2018)
en_US
ethz.event.location
Stockholm, Sweden
en_US
ethz.event.date
July 10-15, 2018
en_US
ethz.publication.place
Cambridge, MA
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::09462 - Hofmann, Thomas / Hofmann, Thomas
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. / Buhmann, Joachim M.
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. / Buhmann, Joachim M.
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::09462 - Hofmann, Thomas / Hofmann, Thomas
en_US
ethz.identifier.url
http://proceedings.mlr.press/v80/duenner18a.html
ethz.date.deposited
2018-12-06T21:13:56Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-12-12T16:23:45Z
ethz.rosetta.lastUpdated
2021-02-15T08:09:37Z
ethz.rosetta.versionExported
true
ethz.COinS
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