Bayesian Joint Estimation of Multiple Graphical Models.
Lingrui GanXinming YangNaveen N. NarisettyFeng LiangPublished in: NeurIPS (2019)
Keyphrases
- graphical models
- joint estimation
- bayesian networks
- belief propagation
- probabilistic model
- statistical inference
- random variables
- probabilistic graphical models
- probabilistic inference
- approximate inference
- markov networks
- conditional random fields
- structure learning
- map inference
- belief networks
- factor graphs
- exact inference
- bayesian inference
- conditional independence
- message passing
- posterior probability
- parameter estimation
- statistical relational learning
- marginal probabilities
- gaussian graphical models
- graph structure
- loopy belief propagation
- maximum likelihood
- higher order
- information extraction