Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

11 Feb 2019Ruqi Zhang • Chunyuan Li • Jianyi Zhang • Changyou Chen • Andrew Gordon Wilson

The posteriors over neural network weights are high dimensional and multimodal. Each mode typically characterizes a meaningfully different representation of the data. We develop Cyclical Stochastic Gradient MCMC (SG-MCMC) to automatically explore such distributions.

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