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2025 ICML ICML 2025

Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Mathematics & Optimization

Authors

Yuxin Dong, Haoran Guo, Tieliang Gong, Wen Wen, Chen Li

Topics

Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Optimization & Theory > Theory Mathematics & Optimization > Mathematics > Information Theory

Keywords

conditional mutual information generalization bound jensen-shannon divergence binary jensen-shannon divergence evaluated loss variables randomized learning algorithms
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