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