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cs.LG2026
Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
Yuanfan Li, Yunwen Lei, Zheng-Chu Guo +1
Recent advances have significantly improved our understanding of the generalization performance of gradient descent (GD) methods in deep neural networks. A natural and fundamental…
cs.LG2026
Statistical Consistency and Generalization of Contrastive Representation Learning
Yuanfan Li, Xiyuan Wei, Tianbao Yang +1
Contrastive representation learning (CRL) underpins many modern foundation models. Despite recent theoretical progress, existing analyses suffer from several key limitations: (i) t…