2 papers
cs.LG2019
Implicit competitive regularization in GANs
Florian Schäfer, Hongkai Zheng, Anima Anandkumar
To improve the stability of GAN training we need to understand why they can produce realistic samples. Presently, this is attributed to properties of the divergence obtained under…
math.OC2019
Competitive Gradient Descent
Florian Schäfer, Anima Anandkumar
We introduce a new algorithm for the numerical computation of Nash equilibria of competitive two-player games. Our method is a natural generalization of gradient descent to the two…