David Balduzzi

A Minimax Theorem for Nonconcave-Nonconvex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets

2020 · arXiv (Cornell University)

Adversarial training, a special case of multi-objective optimization, is an increasingly prevalent machine learning technique: some of its most notable applications include GAN-based generative modeling and self-play techniques in reinforcement learning which have been applied …