Provably Scalable Black-Box Variational Inference with Structured Variational Families.
Joohwan KoKyurae KimWoochang KimJacob R. GardnerPublished in: CoRR (2024)
Keyphrases
- black box
- variational inference
- variational methods
- variational approximation
- bayesian inference
- topic models
- black boxes
- approximate inference
- probabilistic model
- latent dirichlet allocation
- probabilistic graphical models
- posterior distribution
- level set
- optic flow
- gaussian process
- white box
- mixture model
- exponential family
- closed form
- optical flow
- exact inference
- factor graphs
- latent variables
- curve evolution
- test cases
- worst case
- probabilistic inference
- optical flow estimation
- prior information
- markov chain monte carlo
- graphical models
- image segmentation