Generalization and Robustness of the Tilted Empirical Risk

28 September 2024

Papers citing "Generalization and Robustness of the Tilted Empirical Risk"

28 / 28 papers shown

Title
Mean-field Analysis of Generalization Errors Gholamali Aminian Samuel N. Cohen Lukasz Szpruch 8 4 0 20 Jun 2023
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis Gábor Lugosi Gergely Neu 56 12 0 31 May 2023
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 91 21 0 03 Oct 2022
Generalization Bounds via Convex Analysis Gábor Lugosi Gergely Neu 48 29 0 10 Feb 2022
Proportional Fairness in Federated Learning Guojun Zhang Saber Malekmohammadi Xi Chen Yaoliang Yu FedML 57 25 0 03 Feb 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 146 204 0 21 Oct 2021
Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation Attila Szabo Hadi Jamali Rad Siva-Datta Mannava 48 14 0 25 Mar 2021
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms Gholamali Aminian Laura Toni M. Rodrigues 94 16 0 03 Feb 2021
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms Gholamali Aminian Laura Toni M. Rodrigues 50 31 0 23 Oct 2020
Tilted Empirical Risk Minimization Tian Li Ahmad Beirami Maziar Sanjabi Virginia Smith 65 134 0 02 Jul 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 76 80 0 23 Jun 2020
Learning Bounds for Risk-sensitive Learning Jaeho Lee Sejun Park Jinwoo Shin 54 47 0 15 Jun 2020
Generalization Bounds via Information Density and Conditional Information Density Fredrik Hellström G. Durisi 54 67 0 16 May 2020
Reasoning About Generalization via Conditional Mutual Information Thomas Steinke Lydia Zakynthinou 145 165 0 24 Jan 2020
Sharper bounds for uniformly stable algorithms Olivier Bousquet Yegor Klochkov Nikita Zhivotovskiy 54 121 0 17 Oct 2019
Efron-Stein PAC-Bayesian Inequalities Ilja Kuzborskij Csaba Szepesvári 46 22 0 04 Sep 2019
PAC-Bayes under potentially heavy tails Matthew J. Holland 77 42 0 20 May 2019
Tightening Mutual Information Based Bounds on Generalization Error Yuheng Bu Shaofeng Zou Venugopal V. Veeravalli 53 177 0 15 Jan 2019
Chaining Mutual Information and Tightening Generalization Bounds Amir-Reza Asadi Emmanuel Abbe S. Verdú AI4CE 50 124 0 11 Jun 2018
Stability and Convergence Trade-off of Iterative Optimization Algorithms Yuansi Chen Chi Jin Bin Yu 53 93 0 04 Apr 2018
Size-Independent Sample Complexity of Neural Networks Noah Golowich Alexander Rakhlin Ohad Shamir 151 547 0 18 Dec 2017
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints Wenlong Mou Liwei Wang Xiyu Zhai Kai Zheng MLT 52 157 0 19 Jul 2017
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 166 446 0 22 May 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 203 431 0 08 Mar 2017
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 145 72 0 23 Oct 2016
How much does your data exploration overfit? Controlling bias via information usage D. Russo James Zou 49 192 0 16 Nov 2015
Robustness and Generalization Huan Xu Shie Mannor OOD 191 461 0 13 May 2010
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 306 458 0 03 Dec 2007