1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2024
Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories
Yicheng Li, Haobo Zhang, Jianfa Lai +2
A primary advantage of neural networks lies in their feature learning characteristics, which is challenging to theoretically analyze due to the complexity of their training dynamic…
math.ST2024★ 1 cited
The Optimality of Kernel Classifiers in Sobolev Space
Jianfa Lai, Zhifan Li, Dongming Huang +1
Kernel methods are widely used in machine learning, especially for classification problems. However, the theoretical analysis of kernel classification is still limited. This paper…
stat.ML2023
Generalization Ability of Wide Residual Networks
Jianfa Lai, Zixiong Yu, Songtao Tian +1
In this paper, we study the generalization ability of the wide residual network on with the ReLU activation function. We first show that as the width $m\rightarr…