Recursive Monte Carlo and variational inference with auxiliary variables.
Alexander K. LewMarco Cusumano-TownerVikash K. MansinghkaPublished in: UAI (2022)
Keyphrases
- monte carlo
- variational inference
- auxiliary variables
- bayesian inference
- topic models
- posterior distribution
- probabilistic model
- gaussian process
- latent dirichlet allocation
- deformable models
- variational methods
- mixture model
- particle filter
- higher order
- markov chain
- closed form
- graph cuts
- approximate inference
- generative model
- probability distribution
- medical images
- prior information
- image sequences
- graphical models
- maximum likelihood
- hyperparameters
- model selection
- convex optimization
- shape prior
- latent variables
- bayesian framework
- semi supervised
- parameter estimation