Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm-Reference-Cited by-同舟云学术

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Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm

Published:2024-01 Issue:1 Volume:70 Page:632-655
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Aminian Gholamali¹^ORCID,Bu Yuheng²,Toni Laura³^ORCID,Rodrigues Miguel R. D.³^ORCID,Wornell Gregory W.¹^ORCID

Affiliation:

1. The Alan Turing Institute, London, U.K.

2. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA

3. Electronic and Electrical Engineering Department, University College London, London, U.K.

Funder

Engineering and Physical Sciences Research Council

National Science Foundation

Royal Society

Air Force Research Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/18/10375320/10305226-aam.pdf

Reference93 articles.

1. An exact characterization of the generalization error for the Gibbs algorithm;Aminian

2. Information-Theoretic Methods in Data Science

3. An overview of statistical learning theory

4. Stability and generalization;Bousquet;J. Mach. Learn. Res.,2002

5. Robustness and generalization

Cited by 1 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

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