NeurIPS 2017

Bayesian GAN

NeurIPS 2017 andrewgordonwilson/bayesgan

Generative adversarial networks (GANs) can implicitly learn rich distributions over images, audio, and data which are hard to model with an explicit likelihood.

Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure

NeurIPS 2017 albietz/stochs

Stochastic optimization algorithms with variance reduction have proven successful for minimizing large finite sums of functions.