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