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Improving First and Second-Order Methods by Modeling Uncertainty

Nicolas Le Roux 1, 2 yoshua Bengio 3 Andrew Fitzgibbon 4 
1 SIERRA - Statistical Machine Learning and Parsimony
DI-ENS - Département d'informatique - ENS Paris, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8548
2 LIENS - Laboratoire d'informatique de l'école normale supérieure
3 DIRO - Département d'Informatique et de Recherche Opérationnelle [Montreal]
4 Microsoft Research [Redmond]
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https://hal.inria.fr/hal-00646214
Contributor : Nicolas Le Roux Connect in order to contact the contributor
Submitted on : Tuesday, November 29, 2011 - 2:26:36 PM
Last modification on : Thursday, March 17, 2022 - 10:08:43 AM

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  • HAL Id : hal-00646214, version 1

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Nicolas Le Roux, yoshua Bengio, Andrew Fitzgibbon. Improving First and Second-Order Methods by Modeling Uncertainty. MIT Press. Optimization for Machine Learning, MIT Press, 2011, Neural Information Processing, 978-0-262-01646-9. ⟨hal-00646214⟩

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