Distributionally Robust Graphical Models.
Rizal FathonyAshkan RezaeiMohammad Ali BashiriXinhua ZhangBrian D. ZiebartPublished in: NeurIPS (2018)
Keyphrases
- graphical models
- belief propagation
- approximate inference
- probabilistic model
- probabilistic inference
- conditional random fields
- random variables
- probabilistic graphical models
- structure learning
- map inference
- conditional independence
- bayesian networks
- graph structure
- markov networks
- belief networks
- exact inference
- robust optimization
- factor graphs
- statistical inference
- chain graphs
- statistical relational learning
- exponential family
- information extraction
- message passing
- least squares