Provable Smoothness Guarantees for Black-Box Variational Inference.
Justin DomkePublished in: ICML (2020)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- probabilistic model
- posterior distribution
- probabilistic graphical models
- prior information
- gaussian process
- variational methods
- latent dirichlet allocation
- mixture model
- black boxes
- white box
- closed form
- exact inference
- exponential family
- factor graphs
- approximate inference
- test cases
- generative model
- probability distribution
- optic flow
- latent variables
- graphical models
- databases
- machine learning
- density estimation
- markov networks
- probabilistic inference
- log likelihood
- message passing
- belief propagation
- regression model
- maximum likelihood
- language model
- state space