Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation

Manuel Haussmann, Fred A. Hamprecht, Melih Kandemir

We propose a new Bayesian Neural Net formulation that affords variational inference for which the evidence lower bound is analytically tractable subject to a tight approximation. W…