Amortized Variational Inference: When and Why?
Charles C. MargossianDavid M. BleiPublished in: CoRR (2023)
Keyphrases
- variational inference
- bayesian inference
- topic models
- gaussian process
- worst case
- probabilistic model
- variational methods
- probabilistic graphical models
- latent dirichlet allocation
- posterior distribution
- mixture model
- closed form
- exponential family
- factor graphs
- exact inference
- approximate inference
- graphical models
- latent variables
- message passing
- prior information
- hyperparameters
- belief propagation
- generative model
- text mining
- probability distribution
- np hard
- approximation algorithms
- machine learning
- regression model
- particle filter
- maximum likelihood
- markov networks
- least squares
- pairwise
- lower bound
- bayesian networks