2 papers
cs.LG2024
Generative adversarial learning with optimal input dimension and its adaptive generator architecture
Zhiyao Tan, Ling Zhou, Huazhen Lin
We investigate the impact of the input dimension on the generalization error in generative adversarial networks (GANs). In particular, we first provide both theoretical and practic…
stat.ME2023
Deep regression learning with optimal loss function
Xuancheng Wang, Ling Zhou, Huazhen Lin
In this paper, we develop a novel efficient and robust nonparametric regression estimator under a framework of feedforward neural network. There are several interesting characteris…