Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis-Reference-Cited by-同舟云学术

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Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis

Published:2022-06-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Information Theory (ISIT)
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Author:

Perlaza Samir M.¹,Bisson Gaetan²,Esnaola Inaki³,Jean-Marie Alain⁴,Rini Stefano⁵

Affiliation:

1. INRIA,Sophia Antipolis,France,06902

2. Université de la Polynésie Française,Laboratoire de Mathématiques GAATI,Faaa,French Polynesia,98702

3. University of Sheffield,Department of Automatic Control and Systems Engineering,Sheffield,United Kingdom

4. National Chao Tung University,Department of Electrical and Computer Engineering,Hsinchu,Taiwan

5. Princeton University,Department of Electrical and Computer Engineering,Princeton,NJ,USA,08544

Funder

Agence Nationale de la Recherche

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9834325/9834269/09834273.pdf?arnumber=9834273

Reference29 articles.

1. PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses

2. Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds

3. Statistical physics of inference: thresholds and algorithms

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empirical Risk Minimization With Relative Entropy Regularization;IEEE Transactions on Information Theory;2024-07

2. The Worst-Case Data-Generating Probability Measure in Statistical Learning;IEEE Journal on Selected Areas in Information Theory;2024

3. Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

4. On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

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