Probabilistic Optimal Transport based on Collective Graphical Models.
Yasunori AkagiYusuke TanakaTomoharu IwataTakeshi KurashimaHiroyuki TodaPublished in: CoRR (2020)
Keyphrases
- graphical models
- probabilistic model
- belief propagation
- bayesian networks
- belief networks
- factor graphs
- probabilistic graphical models
- probabilistic inference
- random variables
- approximate inference
- probabilistic networks
- conditional random fields
- map inference
- structure learning
- exact inference
- markov networks
- generative model
- graph structure
- markov logic networks
- dynamic programming
- posterior probability
- nonparametric belief propagation
- statistical relational learning
- relational models
- gaussian graphical models
- directed graphical models
- message passing
- closed form
- pairwise
- bayesian belief networks
- exponential family
- probabilistic logic
- conditional independence
- latent variables
- undirected graphical models
- chain graphs
- statistical model
- higher order