Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning

3 December 2007

Papers citing "Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning"

24 / 74 papers shown

Title
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks Gaël Letarte Pascal Germain Benjamin Guedj Franccois Laviolette MQ AI4CE UQCV 20 54 0 24 May 2019
On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables Julyan Arbel Olivier Marchal Hien Nguyen 14 27 0 26 Jan 2019
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 35 52 0 14 May 2018
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach Wenda Zhou Victor Veitch Morgane Austern Ryan P. Adams Peter Orbanz 24 209 0 16 Apr 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors Gintare Karolina Dziugaite Daniel M. Roy MLT 22 144 0 26 Dec 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 27 121 0 28 Jun 2017
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 32 59 0 05 Feb 2017
$Bayesian fractional posteriors$ Bayesian fractional posteriors A. Bhattacharya D. Pati Yun Yang 31 108 0 03 Nov 2016
A Strongly Quasiconvex PAC-Bayesian Bound Niklas Thiemann Christian Igel Olivier Wintenberger Yevgeny Seldin 14 82 0 19 Aug 2016
PAC-Bayesian Theory Meets Bayesian Inference Pascal Germain Francis R. Bach Alexandre Lacoste Simon Lacoste-Julien 19 181 0 27 May 2016
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation V. Cottet Pierre Alquier 32 36 0 14 Apr 2016
A New PAC-Bayesian Perspective on Domain Adaptation Pascal Germain Amaury Habrard François Laviolette Emilie Morvant 21 64 0 15 Jun 2015
On the properties of variational approximations of Gibbs posteriors Pierre Alquier James Ridgway Nicolas Chopin 47 249 0 12 Jun 2015
Curriculum Learning of Multiple Tasks Anastasia Pentina V. Sharmanska Christoph H. Lampert 22 243 0 03 Dec 2014
A Bayesian Approach for Noisy Matrix Completion: Optimal Rate under General Sampling Distribution The Tien Mai Pierre Alquier 55 54 0 25 Aug 2014
Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer Emilie Morvant 57 11 0 19 Nov 2013
Prediction of quantiles by statistical learning and application to GDP forecasting Pierre Alquier Xiaoyin Li AI4TS 52 14 0 20 Feb 2012
Sparse Estimation by Exponential Weighting Philippe Rigollet Alexandre B. Tsybakov 67 121 0 25 Aug 2011
PAC-Bayesian aggregation and multi-armed bandits Jean-Yves Audibert 96 21 0 15 Nov 2010
Mirror averaging with sparsity priors A. Dalalyan Alexandre B. Tsybakov 102 59 0 05 Mar 2010
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary $β$ -Mixing Processes L. Ralaivola Marie Szafranski G. Stempfel 84 81 0 10 Sep 2009
Model selection by resampling penalization Sylvain Arlot 60 66 0 17 Jun 2009
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo A. Dalalyan Alexandre B. Tsybakov 99 178 0 06 Mar 2009
Model selection for weakly dependent time series forecasting Pierre Alquier Olivier Wintenberger OOD AI4TS 71 80 0 17 Feb 2009