Towards Practical Federated Causal Structure Learning.
Zhaoyu WangPingchuan MaShuai WangPublished in: CoRR (2023)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- graphical models
- conditional independence
- markov logic networks
- parameter learning
- bayesian network structure learning
- bayesian network classifiers
- causal models
- sample size
- parameter estimation
- transfer learning
- conditional independence tests
- structure learning algorithm
- causal relationships
- probabilistic model
- markov networks
- probabilistic reasoning
- conditional random fields
- probabilistic graphical models
- em algorithm
- markov random field
- information extraction
- knowledge representation
- clustering algorithm