Undirected Graphical Models as Approximate Posteriors.
Arash VahdatEvgeny AndriyashWilliam G. MacreadyPublished in: ICML (2020)
Keyphrases
- undirected graphical models
- posterior distribution
- markov networks
- graphical models
- conditional random fields
- probabilistic model
- gene regulatory networks
- bayesian inference
- probabilistic graphical models
- exact inference
- approximate inference
- hidden variables
- network model
- probabilistic inference
- posterior probability
- bayesian framework
- first order logic
- graph cuts
- probability distribution
- pairwise
- image segmentation
- message passing
- latent variables
- random variables
- undirected graph
- structured prediction
- hidden markov models
- factor graphs
- partition function