A Distributed Second-Order Algorithm You Can Trust
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
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yes
en_US
ethz.availability
Metadata only
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2018-12-12T16:23:45Z
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2021-02-15T08:09:37Z
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Publikationstyp
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Conference Paper [35226]