A Rule for Gradient Estimator Selection, with an Application to Variational Inference.
Tomas GeffnerJustin DomkePublished in: CoRR (2019)
Keyphrases
- variational inference
- bayesian inference
- topic models
- variational methods
- gaussian process
- probabilistic model
- mixture model
- closed form
- posterior distribution
- probabilistic graphical models
- maximum likelihood
- association rules
- latent dirichlet allocation
- least squares
- knowledge discovery
- maximum a posteriori
- text mining
- markov networks
- exact inference
- factor graphs
- machine learning