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dc.contributor.author
Adolphs, Leonard
dc.contributor.author
Kohler, Jonas
dc.contributor.author
Lucchi, Aurélien
dc.date.accessioned
2020-01-28T11:44:14Z
dc.date.available
2020-01-24T09:11:56Z
dc.date.available
2020-01-28T11:44:14Z
dc.date.issued
2019-05-22
dc.identifier.uri
http://hdl.handle.net/20.500.11850/393679
dc.language.iso
en
en_US
dc.publisher
Cornell University
en_US
dc.title
Ellipsoidal Trust Region Methods for Neural Nets
en_US
dc.type
Working Paper
ethz.journal.title
arXiv
ethz.pages.start
1905.09201
en_US
ethz.size
12 p.
en_US
ethz.identifier.arxiv
1905.09201
ethz.publication.place
Ithaca, NY
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.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.date.deposited
2020-01-24T09:12:03Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-01-28T11:44:25Z
ethz.rosetta.lastUpdated
2020-02-15T23:53:35Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Ellipsoidal%20Trust%20Region%20Methods%20for%20Neural%20Nets&rft.jtitle=arXiv&rft.date=2019-05-22&rft.spage=1905.09201&rft.au=Adolphs,%20Leonard&Kohler,%20Jonas&Lucchi,%20Aur%C3%A9lien&rft.genre=preprint&
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