Wasserstein Variational Inference.
Luca AmbrogioniUmut GüçlüYagmur GüçlütürkMax HinneMarcel A. J. van GervenEric MarisPublished in: NeurIPS (2018)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- variational methods
- topic models
- latent dirichlet allocation
- probabilistic graphical models
- gaussian process
- mixture model
- probabilistic model
- closed form
- graphical models
- exponential family
- approximate inference
- factor graphs
- exact inference
- latent variables
- prior information
- prior knowledge
- hyperparameters
- markov networks
- bayesian framework
- data mining
- conditional random fields
- regression model
- generative model
- probability distribution
- image segmentation
- feature selection