Nonparametric variational inference.
Samuel GershmanMatthew D. HoffmanDavid M. BleiPublished in: ICML (2012)
Keyphrases
- variational inference
- hierarchical bayesian
- bayesian inference
- dirichlet process
- posterior distribution
- topic models
- probabilistic graphical models
- variational methods
- probabilistic model
- gaussian process
- latent dirichlet allocation
- mixture model
- closed form
- exact inference
- exponential family
- approximate inference
- graphical models
- factor graphs
- density estimation
- markov networks
- hyperparameters
- latent variables
- text mining
- prior information
- probability distribution
- information retrieval
- unsupervised learning
- maximum likelihood
- missing data
- optic flow
- bayesian networks
- image sequences