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2025 ICML ICML 2025

Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails

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

Jindong Tong, Hongcheng Liu, Johannes O. Royset

Topics

Machine Learning > Optimization & Theory > Optimization Mathematics & Optimization > Optimization > Stochastic Methods Mathematics & Optimization > Optimization > Convex Optimization

Keywords

sample average approximation heavy tail convex sp problems diametrical risk minimization non-lipschitzian bounds over-parameterized classification models
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