On the Convergence of Black-Box Variational Inference.
Kyurae KimJisu OhKaiwen WuYian MaJacob R. GardnerPublished in: NeurIPS (2023)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- gaussian process
- black boxes
- probabilistic model
- variational methods
- posterior distribution
- latent dirichlet allocation
- probabilistic graphical models
- closed form
- mixture model
- exponential family
- white box
- approximate inference
- test cases
- exact inference
- factor graphs
- latent variables
- generative model
- model selection
- message passing
- training data
- posterior probability
- bayesian framework
- pairwise