A Rule for Gradient Estimator Selection, with an Application to Variational Inference.
Tomas GeffnerJustin DomkePublished in: AISTATS (2020)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- closed form
- topic models
- probabilistic model
- exponential family
- probabilistic graphical models
- maximum likelihood
- variational methods
- latent dirichlet allocation
- mixture model
- gaussian process
- least squares
- maximum a posteriori
- association rules
- approximate inference
- exact inference
- semi supervised