Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage

28 February 2023

Papers citing "Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage"

18 / 18 papers shown

Title
Generalization Bounds via Convex Analysis Gábor Lugosi Gergely Neu 48 29 0 10 Feb 2022
From Generalisation Error to Transportation-cost Inequalities and Back A. Esposito Michael C. Gastpar 48 7 0 08 Feb 2022
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels Hao Wang Rui Gao Flavio du Pin Calmon 60 17 0 05 Feb 2021
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent Gergely Neu Gintare Karolina Dziugaite Mahdi Haghifam Daniel M. Roy 65 89 0 01 Feb 2021
Generalization Bounds via Information Density and Conditional Information Density Fredrik Hellström G. Durisi 54 67 0 16 May 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms Mahdi Haghifam Jeffrey Negrea Ashish Khisti Daniel M. Roy Gintare Karolina Dziugaite 149 106 0 27 Apr 2020
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 129 606 0 04 Dec 2019
Generalization Error Bounds Via Rényi-, $f$ -Divergences and Maximal Leakage A. Esposito Michael C. Gastpar Ibrahim Issa 38 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 153 152 0 06 Nov 2019
Tightening Mutual Information Based Bounds on Generalization Error Yuheng Bu Shaofeng Zou Venugopal V. Veeravalli 53 177 0 15 Jan 2019
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 202 1,217 0 26 Jun 2017
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 166 446 0 22 May 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 106 813 0 31 Mar 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
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 201 6,121 0 01 Jul 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 269 11,152 0 14 Mar 2016
A PAC-Bayesian Tutorial with A Dropout Bound David A. McAllester 83 140 0 08 Jul 2013
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 79 1,339 0 12 Jun 2012