2018
Stabilizing Adversarial Nets with Prediction Methods
ICLR 2018poster
Adversarial neural networks solve many important problems in data science, but are notoriously difficult to train. These difficulties come from the fact that optimal weights for adversarial nets correspond to saddle points, and not minimizers, of the loss function. The alternating stochastic gradien…