2019
A Variational Inequality Perspective on Generative Adversarial Networks
ICLR 2019poster
Generative adversarial networks (GANs) form a generative modeling approach known for producing appealing samples, but they are notably difficult to train. One common way to tackle this issue has been to propose new formulations of the GAN objective. Yet, surprisingly few studies have looked at optim…