Validated Variational Inference via Practical Posterior Error Bounds.
Jonathan H. HugginsMikolaj KasprzakTrevor CampbellTamara BroderickPublished in: AISTATS (2020)
Keyphrases
- error bounds
- variational inference
- posterior distribution
- gaussian process
- probabilistic model
- theoretical analysis
- probability distribution
- bayesian inference
- worst case
- topic models
- latent variables
- probabilistic graphical models
- markov chain monte carlo
- bayesian framework
- variational methods
- posterior probability
- mixture model
- latent dirichlet allocation
- hyperparameters
- closed form
- parameter estimation
- graphical models
- multiscale
- approximate inference
- semi supervised
- prior knowledge