Stochastic variational inference.
Matthew D. HoffmanDavid M. BleiChong WangJohn W. PaisleyPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- gaussian process
- probabilistic model
- mixture model
- variational methods
- latent dirichlet allocation
- probabilistic graphical models
- closed form
- exponential family
- monte carlo
- factor graphs
- exact inference
- approximate inference
- posterior probability
- bayesian framework
- maximum a posteriori
- graphical models
- probabilistic inference
- data mining
- hyperparameters
- statistical models
- optic flow
- image reconstruction
- parameter estimation
- particle filter
- information extraction
- information retrieval