Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner

A popular approach for estimating the predictive uncertainty of neural networks is to define a prior distribution over the network parameters, infer an approximate posterior distribution, and use it to make stochastic predictions.