Langevin-gradient parallel tempering for Bayesian neural learning

Rohitash Chandra, Konark Jain, Ratneel V. Deo +1

Bayesian neural learning feature a rigorous approach to estimation and uncertainty quantification via the posterior distribution of weights that represent knowledge of the neural n…