Non-reversible Parallel Tempering for Deep Posterior Approximation.
Wei DengQian ZhangQi FengFaming LiangGuang LinPublished in: CoRR (2022)
Keyphrases
- markov chain monte carlo
- markov chain
- bayesian inference
- restricted boltzmann machine
- posterior distribution
- probabilistic model
- deep learning
- generative model
- monte carlo
- closed form
- posterior probability
- parameter estimation
- probability distribution
- loopy belief propagation
- bayesian framework
- approximate inference
- data association
- cross validation
- approximation algorithms
- graphical models
- gaussian process
- active learning