PAC-Bayesian Bound for the Conditional Value at Risk

26 June 2020

Papers citing "PAC-Bayesian Bound for the Conditional Value at Risk"

15 / 15 papers shown

Title
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 83 6 0 07 Feb 2024
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 110 54 0 28 Oct 2019
Sharper bounds for uniformly stable algorithms Olivier Bousquet Yegor Klochkov Nikita Zhivotovskiy 54 121 0 17 Oct 2019
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi Peter Grünwald Benjamin Guedj 52 47 0 31 May 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 141 140 0 24 Jan 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 156 222 0 16 Jan 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 55 418 0 20 Oct 2018
Concentration bounds for empirical conditional value-at-risk: The unbounded case R. Kolla Prashanth L.A. Sanjay P. Bhat Krishna Jagannathan 38 50 0 06 Aug 2018
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 95 854 0 08 Mar 2017
Variance-based regularization with convex objectives John C. Duchi Hongseok Namkoong 71 349 0 08 Oct 2016
Stability revisited: new generalisation bounds for the Leave-one-Out Alain Celisse Benjamin Guedj 33 24 0 23 Aug 2016
Algorithms for CVaR Optimization in MDPs Yinlam Chow Mohammad Ghavamzadeh 73 198 0 12 Jun 2014
Optimizing the CVaR via Sampling Aviv Tamar Yonatan Glassner Shie Mannor 77 186 0 15 Apr 2014
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 378 542 0 21 Jul 2009
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 306 458 0 03 Dec 2007