On the regularized risk of distributionally robust learning over deep neural networks

DOI10.1007/S40687-022-00349-9OpenAlexW3199535756WikidataQ114953998 ScholiaQ114953998MaRDI QIDQ2168882

Yanyan Li

Publication date: 26 August 2022

Published in: Research in the Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2109.06294

Mathematics Subject Classification ID

Computer science (68-XX) Operations research, mathematical programming (90-XX)

Cites Work

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• Analysis of classifiers' robustness to adversarial perturbations
• Distributionally Robust Convex Optimization
• Square-root lasso: pivotal recovery of sparse signals via conic programming
• On generalized Hölder inequality
• Optimization, relaxation and Young measures
• Stable architectures for deep neural networks
• Robust Wasserstein profile inference and applications to machine learning
• Probabilistic Theory of Mean Field Games with Applications II

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