Variational Inference and Deep Generative Models.
Wilker AzizPhilip SchulzPublished in: ACL (5) (2018)
Keyphrases
- generative model
- variational inference
- latent dirichlet allocation
- probabilistic model
- mixture model
- topic models
- bayesian inference
- bayesian framework
- mixed membership
- posterior distribution
- graphical models
- posterior probability
- prior knowledge
- em algorithm
- conditional random fields
- probabilistic graphical models
- hidden variables
- latent variables
- expectation maximization
- gaussian process
- parameter learning
- semi supervised
- closed form
- markov networks
- factor graphs
- density estimation
- computer vision
- variational methods
- language model
- exponential family
- training data