Stochastic Variational Inference.
Matthew D. HoffmanDavid M. BleiChong WangJohn W. PaisleyPublished in: CoRR (2012)
Keyphrases
- variational inference
- bayesian inference
- topic models
- variational methods
- posterior distribution
- probabilistic graphical models
- probabilistic model
- latent dirichlet allocation
- closed form
- mixture model
- gaussian process
- exponential family
- exact inference
- hyperparameters
- approximate inference
- graphical models
- monte carlo
- factor graphs
- generative model