Multiplicative Normalizing Flows for Variational Bayesian Neural Networks.
Christos LouizosMax WellingPublished in: ICML (2017)
Keyphrases
- variational bayesian
- matrix factorization
- exponential family
- factor analysis
- expectation maximization
- dirichlet process
- incomplete data
- bayesian methods
- log likelihood
- multi task learning
- density estimation
- variational inference
- k means
- independent component analysis
- closed form
- image reconstruction
- monte carlo
- graphical models
- probability distribution