Tighter Expected Generalization Error Bounds via Convexity of Information Measures-Reference-Cited by-同舟云学术

Tighter Expected Generalization Error Bounds via Convexity of Information Measures

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

Author:

Aminian Gholamali¹,Bu Yuheng²,Wornell Gregory W.²,Rodrigues Miguel R. D.¹

Affiliation:

1. University College London

2. Massachusetts Institute of Technology

Funder

Royal Society

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9834325/9834269/09834474.pdf?arnumber=9834474

Reference29 articles.

1. Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage

2. Jensen-Shannon information based characterization of the generalization error of learning algorithms;aminian;2020 IEEE Information Theory Workshop (ITW),2020

3. Generalization error bounds using Wasserstein distances

4. An Information-Theoretic View of Generalization via Wasserstein Distance

5. Tighter expected generalization error bounds via Wasserstein distance;gálvez;Advances in neural information processing systems,2021

Cited by 9 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. Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm;IEEE Transactions on Information Theory;2024-01

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

4. Learning Algorithm Generalization Error Bounds via Auxiliary Distributions;IEEE Journal on Selected Areas in Information Theory;2024

5. Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem;IEEE Journal on Selected Areas in Information Theory;2024