Markov Chain Monte Carlo and Variational Inference: Bridging the Gap.
Tim SalimansDiederik P. KingmaMax WellingPublished in: ICML (2015)
Keyphrases
- variational inference
- markov chain monte carlo
- posterior distribution
- bayesian inference
- approximate inference
- exponential family
- latent variables
- probability distribution
- bayesian framework
- parameter estimation
- probabilistic model
- hyperparameters
- posterior probability
- exact inference
- maximum a posteriori
- prior information
- gaussian process
- variational methods
- graphical models
- generative model
- probabilistic graphical models
- prior knowledge
- bayesian networks
- video sequences
- markov random field
- particle filtering
- latent dirichlet allocation
- machine learning
- image reconstruction
- conditional random fields
- random variables