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 de l'École normale supérieure, ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8548
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https://hal.inria.fr/hal-00646214
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Submitted on : Tuesday, November 29, 2011 - 2:26:36 PM
Last modification on : Wednesday, April 17, 2019 - 12:15:34 PM

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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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