Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks.
Yeshu LiZhan ShiXinhua ZhangBrian D. ZiebartPublished in: AISTATS (2022)
Keyphrases
- structure learning
- markov networks
- graphical models
- belief propagation
- pairwise
- markov logic networks
- markov random field
- bayesian networks
- maximum likelihood
- probabilistic graphical models
- conditional random fields
- parameter learning
- first order logic
- maximum margin
- structured prediction
- bayesian inference
- hidden variables
- probabilistic model
- posterior probability
- markov blanket
- approximate inference
- document classification
- parameter estimation
- conditional independence
- conditional probabilities
- network structure
- transfer learning
- hidden markov models
- inductive logic programming
- graph cuts
- stereo matching
- generative model
- similarity measure
- random variables
- machine learning
- conditional independence tests
- energy function
- higher order
- image segmentation
- social networks