Efron-Stein PAC-Bayesian Inequalities

4 September 2019

Papers citing "Efron-Stein PAC-Bayesian Inequalities"

20 / 20 papers shown

Title
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi Peter Grünwald Benjamin Guedj 47 47 0 31 May 2019
PAC-Bayes under potentially heavy tails Matthew J. Holland 62 42 0 20 May 2019
Distribution-Dependent Analysis of Gibbs-ERM Principle Ilja Kuzborskij Nicolò Cesa-Bianchi Csaba Szepesvári 42 20 0 05 Feb 2019
Policy Optimization via Importance Sampling Alberto Maria Metelli Matteo Papini Francesco Faccio Marcello Restelli OffRL 77 90 0 17 Sep 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors Omar Rivasplata E. Parrado-Hernández John Shawe-Taylor Shiliang Sun Csaba Szepesvári 41 54 0 18 Jun 2018
Empirical bounds for functions with weak interactions Andreas Maurer Massimiliano Pontil 20 8 0 11 Mar 2018
A Tight Excess Risk Bound via a Unified PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity Peter Grünwald Nishant A. Mehta 32 35 0 21 Oct 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur Srinadh Bhojanapalli Nathan Srebro 80 605 0 29 Jul 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 106 812 0 31 Mar 2017
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 137 72 0 23 Oct 2016
A Strongly Quasiconvex PAC-Bayesian Bound Niklas Thiemann Christian Igel Olivier Wintenberger Yevgeny Seldin 41 83 0 19 Aug 2016
PAC-Bayesian Theory Meets Bayesian Inference Pascal Germain Francis R. Bach Alexandre Lacoste Simon Lacoste-Julien 68 183 0 27 May 2016
On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities Alexander Rakhlin Karthik Sridharan 52 48 0 13 Oct 2015
On the properties of variational approximations of Gibbs posteriors Pierre Alquier James Ridgway Nicolas Chopin 97 255 0 12 Jun 2015
Optimal learning with Bernstein Online Aggregation Olivier Wintenberger FedML 96 78 0 04 Apr 2014
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 320 783 0 11 Sep 2012
PAC-Bayesian Inequalities for Martingales Yevgeny Seldin François Laviolette Nicolò Cesa-Bianchi John Shawe-Taylor P. Auer 103 127 0 31 Oct 2011
Optimistic Rates for Learning with a Smooth Loss Nathan Srebro Karthik Sridharan Ambuj Tewari 153 282 0 20 Sep 2010
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 305 542 0 21 Jul 2009
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 278 458 0 03 Dec 2007