Importance Weighting and Variational Inference.
Justin DomkeDaniel R. SheldonPublished in: NeurIPS (2018)
Keyphrases
- variational inference
- bayesian inference
- mixture model
- topic models
- probabilistic model
- variational methods
- gaussian process
- latent dirichlet allocation
- probabilistic graphical models
- posterior distribution
- closed form
- exponential family
- exact inference
- approximate inference
- machine learning
- factor graphs
- prior information
- hyperparameters
- probability distribution
- latent variables
- text mining
- knowledge discovery