2019
Approximate Inference Turns Deep Networks into Gaussian Processes
NeurIPS 2019poster
Deep neural networks (DNN) and Gaussian processes (GP) are two powerful models with several theoretical connections relating them, but the relationship between their training methods is not well understood. In this paper, we show that certain Gaussian posterior approximations for Bayesian DNNs are e…