2018
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
AISTATS 2018poster
Generative Adversarial Networks (GANs) have become a widely popular framework for generative modelling of high-dimensional datasets. However their training is well-known to be difficult. This work presents a rigorous statistical analysis of GANs providing straight-forward explanations for common tra…