3 papers
cs.LG2025
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.LG2025
Towards Understanding the Optimization Mechanisms in Deep Learning
Binchuan Qi, Wei Gong, Li Li
In this paper, we adopt a probability distribution estimation perspective to explore the optimization mechanisms of supervised classification using deep neural networks. We demonst…
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…