Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry

Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou +3

Bayesian inference in deep neural networks is challenging due to the high-dimensional, strongly multi-modal parameter posterior density landscape. Markov chain Monte Carlo approach…