Recursive Monte Carlo and Variational Inference with Auxiliary Variables.
Alexander K. LewMarco F. Cusumano-TownerVikash K. MansinghkaPublished in: CoRR (2022)
Keyphrases
- monte carlo
- variational inference
- auxiliary variables
- bayesian inference
- topic models
- probabilistic model
- gaussian process
- variational methods
- mixture model
- posterior distribution
- higher order
- particle filter
- latent dirichlet allocation
- deformable models
- closed form
- graph cuts
- markov chain
- latent variables
- learning algorithm
- model selection
- graphical models
- approximate inference
- semi supervised
- prior information
- gaussian distribution
- markov chain monte carlo
- support vector
- bayesian networks