Variational inference via Wasserstein gradient flows.
Marc LambertSinho ChewiFrancis R. BachSilvère BonnabelPhilippe RigolletPublished in: CoRR (2022)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- latent dirichlet allocation
- gaussian process
- mixture model
- variational methods
- probabilistic model
- closed form
- active contour model
- exponential family
- probability distribution
- approximate inference
- regression model
- latent variables
- hyperparameters
- prior information
- active contours
- support vector
- parameter estimation
- markov random field
- graph cuts
- generative model
- bayesian framework
- statistical models