Provable convergence guarantees for black-box variational inference.
Justin DomkeRobert M. GowerGuillaume GarrigosPublished in: NeurIPS (2023)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- probabilistic graphical models
- posterior distribution
- variational methods
- probabilistic model
- latent dirichlet allocation
- mixture model
- gaussian process
- black boxes
- closed form
- white box
- exponential family
- hyperparameters
- factor graphs
- approximate inference
- exact inference
- databases
- prior information
- first order logic
- markov networks
- generative model