Deterministic Annealing for Stochastic Variational Inference.
Farhan AbrolStephan MandtRajesh RanganathDavid M. BleiPublished in: CoRR (2014)
Keyphrases
- deterministic annealing
- variational inference
- posterior distribution
- bayesian inference
- free energy
- mixture model
- em algorithm
- data clustering
- gaussian process
- global optimization
- probabilistic model
- topic models
- objective function
- semi supervised
- expectation maximization
- closed form
- probability distribution
- approximate inference
- parameter estimation
- latent variables
- exponential family
- hyperparameters
- prior information
- model selection
- graphical models
- bayesian framework
- generative model
- maximum a posteriori
- image reconstruction
- conditional probabilities
- multiscale