Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models.
Yichuan ZhangCharles SuttonPublished in: NIPS (2014)
Keyphrases
- monte carlo
- hierarchical models
- exact inference
- markov chain monte carlo
- bayesian networks
- monte carlo methods
- hierarchical model
- bayesian inference
- hierarchical structures
- importance sampling
- probabilistic inference
- markov chain
- monte carlo simulation
- graphical models
- monte carlo tree search
- generative model
- approximate inference
- belief networks
- structured prediction
- particle filter
- learning algorithm
- dynamic bayesian networks
- variational methods
- posterior probability
- variance reduction
- belief propagation
- d objects
- image sequences