Sylvester Normalizing Flows for Variational Inference.
Rianne van den BergLeonard HasencleverJakub M. TomczakMax WellingPublished in: CoRR (2018)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- probabilistic graphical models
- probabilistic model
- latent dirichlet allocation
- gaussian process
- mixture model
- variational methods
- closed form
- factor graphs
- exact inference
- graphical models
- exponential family
- approximate inference
- latent variables
- prior information
- bayesian networks
- parameter estimation
- optic flow
- markov networks
- hyperparameters
- text mining
- state space
- higher order
- information retrieval
- message passing