Hai-Lin Sang

Error Analysis in Generative Adversarial Networks: A Theoretical Framework

The generative adversarial network (GAN) is an important model developed for high-dimensional distribution learning in recent years. However, there is a need for a comprehensive understanding of its generalization error and convergence behavior. In this research, we study the generalization error of GANs based on class...