Stochastic Structured Variational Inference.
Matthew D. HoffmanDavid M. BleiPublished in: AISTATS (2015)
Keyphrases
- variational inference
- bayesian inference
- probabilistic graphical models
- topic models
- gaussian process
- latent dirichlet allocation
- posterior distribution
- mixture model
- probabilistic model
- closed form
- variational methods
- exponential family
- exact inference
- approximate inference
- latent variables
- monte carlo
- generative model
- probability distribution
- prior information
- bayesian framework
- parameter estimation
- expectation maximization
- markov networks
- multiscale