Differentiable Bayesian Structure Learning with Acyclicity Assurance.
Quang-Duy TranPhuoc NguyenBao DuongThin NguyenPublished in: ICDM (2023)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- conditional independence
- parameter learning
- bayesian network structures
- markov logic networks
- transfer learning
- posterior probability
- bayesian network classifiers
- parameter estimation
- probabilistic model
- markov blanket
- maximum likelihood
- bayesian network structure learning
- markov networks
- probability distribution
- probabilistic graphical models
- objective function
- bayesian inference
- structure learning algorithm
- maximum likelihood estimation
- probabilistic reasoning
- posterior distribution
- network structure
- reinforcement learning