Provable Smoothness Guarantees for Black-Box Variational Inference.
Justin DomkePublished in: CoRR (2019)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- posterior distribution
- gaussian process
- prior information
- probabilistic model
- variational methods
- probabilistic graphical models
- latent dirichlet allocation
- mixture model
- black boxes
- closed form
- exponential family
- white box
- test cases
- exact inference
- probability distribution
- optic flow
- hyperparameters
- factor graphs
- markov networks
- approximate inference
- latent variables
- graphical models
- data sets
- regression model
- parameter estimation
- expectation maximization
- log likelihood
- maximum likelihood
- language model
- hidden markov models
- optical flow
- bayesian networks
- feature selection