Variational Inference: A Review for Statisticians.
David M. BleiAlp KucukelbirJon D. McAuliffePublished in: CoRR (2016)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- probabilistic model
- latent dirichlet allocation
- mixture model
- gaussian process
- probabilistic graphical models
- variational methods
- closed form
- exponential family
- exact inference
- factor graphs
- approximate inference
- graphical models
- prior information
- bayesian networks
- information retrieval
- density estimation
- markov networks
- hidden variables
- parameter estimation
- generative model
- approximation algorithms