Bayesian Deep Learning via Subnetwork Inference

Erik Daxberger, Eric Nalisnick, James Urquhart Allingham +2

The Bayesian paradigm has the potential to solve core issues of deep neural networks such as poor calibration and data inefficiency. Alas, scaling Bayesian inference to large weigh…