Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms

3 February 2021

Papers citing "Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms"

19 / 19 papers shown

Title
Information-Theoretic Generalization Bounds for Deep Neural Networks Haiyun He Christina Lee Yu 75 5 0 04 Apr 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 83 0 0 08 Nov 2023
Tighter expected generalization error bounds via Wasserstein distance Borja Rodríguez Gálvez Germán Bassi Ragnar Thobaben Mikael Skoglund 33 45 0 22 Jan 2021
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms Gholamali Aminian Laura Toni M. Rodrigues 36 30 0 23 Oct 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 70 80 0 23 Jun 2020
Generalization Bounds via Information Density and Conditional Information Density Fredrik Hellström G. Durisi 40 66 0 16 May 2020
Reasoning About Generalization via Conditional Mutual Information Thomas Steinke Lydia Zakynthinou 83 162 0 24 Jan 2020
Generalization Error Bounds Via Rényi-, $f$ -Divergences and Maximal Leakage A. Esposito Michael C. Gastpar Ibrahim Issa 22 76 0 01 Dec 2019
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 148 149 0 06 Nov 2019
Sharper bounds for uniformly stable algorithms Olivier Bousquet Yegor Klochkov Nikita Zhivotovskiy 40 120 0 17 Oct 2019
Tightening Mutual Information Based Bounds on Generalization Error Yuheng Bu Shaofeng Zou Venugopal V. Veeravalli 34 173 0 15 Jan 2019
Chaining Mutual Information and Tightening Generalization Bounds Amir-Reza Asadi Emmanuel Abbe S. Verdú AI4CE 21 121 0 11 Jun 2018
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 111 442 0 22 May 2017
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 132 72 0 23 Oct 2016
A Strongly Quasiconvex PAC-Bayesian Bound Niklas Thiemann Christian Igel Olivier Wintenberger Yevgeny Seldin 33 83 0 19 Aug 2016
How much does your data exploration overfit? Controlling bias via information usage D. Russo James Zou 34 189 0 16 Nov 2015
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm Pascal Germain A. Lacasse François Laviolette M. Marchand Jean-Francis Roy 36 142 0 28 Mar 2015
Sharp Inequalities for $f$ -divergences Adityanand Guntuboyina Sujayam Saha Geoffrey Schiebinger 49 35 0 02 Feb 2013
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 54 1,326 0 12 Jun 2012