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cs.LG2024★ 1 cited
Extended convexity and smoothness and their applications in deep learning
Binchuan Qi, Wei Gong, Li Li
Classical assumptions like strong convexity and Lipschitz smoothness often fail to capture the nature of deep learning optimization problems, which are typically non-convex and non…
cs.LG2024
Probability Distribution Learning and Its Application in Deep Learning
Binchuan Qi, Wei Gong, Li Li
Despite its empirical success, deep learning still lacks a comprehensive theoretical understanding of model fitting and generalization. This paper proposes the probability distribu…
cs.LG2024
Error Bounds of Supervised Classification from Information-Theoretic Perspective
Binchuan Qi
In this paper, we explore bounds on the expected risk when using deep neural networks for supervised classification from an information theoretic perspective. Firstly, we introduce…