Sylvester Normalizing Flows for Variational Inference.
Rianne van den BergLeonard HasencleverJakub M. TomczakMax WellingPublished in: UAI (2018)
Keyphrases
- variational inference
- bayesian inference
- topic models
- probabilistic model
- probabilistic graphical models
- variational methods
- posterior distribution
- latent dirichlet allocation
- gaussian process
- mixture model
- closed form
- exact inference
- graphical models
- exponential family
- approximate inference
- bayesian framework
- latent variables
- factor graphs
- feature selection
- prior information
- probability distribution
- hidden variables
- hyperparameters
- missing values
- regression model
- information extraction
- model selection