Automated Variational Inference in Probabilistic Programming
David WingateTheophane WeberPublished in: CoRR (2013)
Keyphrases
- variational inference
- probabilistic model
- bayesian inference
- posterior distribution
- gaussian process
- topic models
- mixture model
- factor graphs
- probabilistic graphical models
- variational methods
- generative model
- posterior probability
- closed form
- latent dirichlet allocation
- bayesian networks
- exact inference
- graphical models
- conditional probabilities
- multiscale
- exponential family
- markov networks
- language model
- approximate inference
- model selection
- parameter estimation
- message passing
- probability distribution
- belief networks
- hidden markov models
- statistical model