A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization

Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng

Abstract: This paper provides a simple procedure to fit generative networks to target distributions, with the goal of a small Wasserstein distance (or other optimal transport costs). The approach is based on...