Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks.

Theodore Papamarkou Jacob D. Hinkle M. Todd Young David E. Womble

Published in: CoRR (2019)

Keyphrases

bayesian inference
markov chain monte carlo
neural network
hyperparameters
probabilistic model

prior information
gibbs sampler
particle filter
variational bayes
variational inference

gibbs sampling
variational approximation
markov networks
bayesian model
markov chain

posterior distribution
expectation propagation
genetic algorithm
exponential family
generative model