MCMC Variational Inference via Uncorrected Hamiltonian Annealing.
Tomas GeffnerJustin DomkePublished in: NeurIPS (2021)
Keyphrases
- variational inference
- posterior distribution
- bayesian inference
- markov chain monte carlo
- dirichlet process
- probability distribution
- approximate inference
- simulated annealing
- latent variables
- parameter estimation
- bayesian framework
- variational methods
- probabilistic model
- hyperparameters
- maximum a posteriori
- topic models
- posterior probability
- gaussian distribution
- monte carlo
- probabilistic graphical models
- exact inference
- prior information
- gaussian process
- closed form
- model selection
- markov chain
- hidden variables
- random variables
- sampling algorithm
- latent dirichlet allocation
- mixture model
- generative model
- markov networks
- optic flow
- factor graphs
- markov random field