Non-reversible Parallel Tempering for Deep Posterior Approximation.
Wei DengQian ZhangQi FengFaming LiangGuang LinPublished in: AAAI (2023)
Keyphrases
- markov chain monte carlo
- markov chain
- bayesian inference
- posterior distribution
- restricted boltzmann machine
- parameter estimation
- deep learning
- posterior probability
- monte carlo
- probabilistic model
- generative model
- approximate inference
- probability distribution
- particle filter
- neural network
- maximum a posteriori
- learning algorithm
- loopy belief propagation
- bayesian networks
- artificial neural networks
- dynamic programming
- particle filtering
- state space
- closed form
- random variables
- model selection
- simulated annealing