Empirical Risk Minimization With Relative Entropy Regularization-Reference-Cited by-同舟云学术

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Empirical Risk Minimization With Relative Entropy Regularization

Published:2024-07 Issue:7 Volume:70 Page:5122-5161
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Perlaza Samir M.¹^ORCID,Bisson Gaetan²^ORCID,Esnaola Iñaki³^ORCID,Jean-Marie Alain¹^ORCID,Rini Stefano⁴^ORCID

Affiliation:

1. INRIA, Centre Inria d’Université Côte d’Azur, Sophia Antipolis, France

2. GAATI Laboratory, Université de la Polynésie Française, Faaa, French Polynesia

3. ECE Department, Princeton University, Princeton, NJ, USA

4. ECE Department, National Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/18/10565302/10433697.pdf?arnumber=10433697

Reference74 articles.

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

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

3. Statistical Learning Theory and Stochastic Optimization

4. Statistical physics of inference: thresholds and algorithms

5. On the properties of variational approximations of Gibbs posteriors;Alquier;J. Mach. Learn. Res.,2016

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1. Modeling stationary, periodic, and long memory processes by superposed jump-driven processes;Chaos, Solitons & Fractals;2024-11

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