Probabilistic Circuits for Variational Inference in Discrete Graphical Models.
Andy ShihStefano ErmonPublished in: CoRR (2020)
Keyphrases
- graphical models
- variational inference
- probabilistic model
- factor graphs
- probabilistic graphical models
- exact inference
- approximate inference
- belief propagation
- bayesian inference
- bayesian networks
- exponential family
- belief networks
- random variables
- probabilistic inference
- generative model
- conditional random fields
- markov networks
- mixture model
- latent variables
- variational methods
- topic models
- structure learning
- message passing
- conditional independence
- expectation maximization
- least squares
- belief functions
- gaussian process
- posterior distribution
- posterior probability