NeurIPS 2017

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.

STOCHASTIC OPTIMIZATION

Bayesian GAN

NeurIPS 2017 KeAWang/BayesianGAN4AdversarialAttacks

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