Variational Inference: A Unified Framework of Generative Models and Some Revelations.
Jianlin SuPublished in: CoRR (2018)
Keyphrases
- variational inference
- generative model
- latent dirichlet allocation
- probabilistic model
- mixture model
- topic models
- bayesian inference
- posterior probability
- em algorithm
- mixed membership
- bayesian framework
- hidden variables
- latent variables
- graphical models
- expectation maximization
- gaussian process
- semi supervised
- conditional random fields
- probabilistic graphical models
- exponential family
- prior knowledge
- conditional probabilities
- posterior distribution
- hyperparameters
- closed form
- active learning
- feature space
- bayesian networks
- image processing
- density estimation
- prior information
- information retrieval
- maximum likelihood
- probability distribution
- parameter learning
- variational methods
- pairwise