Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Christos Louizos, Max Welling

Abstract: We introduce a variational Bayesian neural network where the parameters are governed via a probability distribution on random matrices. Specifically, we employ a matrix variate Gaussian (Gupta & Na...