Constraining acyclicity of differentiable Bayesian structure learning with topological ordering.
Quang-Duy TranPhuoc NguyenBao DuongThin NguyenPublished in: Knowl. Inf. Syst. (2024)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- parameter estimation
- conditional independence
- maximum likelihood
- markov logic networks
- bayesian network structure learning
- posterior probability
- bayesian network structures
- markov networks
- posterior distribution
- parameter learning
- bayesian network classifiers
- transfer learning
- sample size
- probabilistic model
- probabilistic reasoning
- probability distribution
- markov blanket
- structure learning algorithm
- bayesian inference
- network structure
- objective function
- approximate inference
- least squares
- active learning