Differentiable and Transportable Structure Learning.
Jeroen BerrevoetsNabeel SeedatFergus ImrieMihaela van der SchaarPublished in: ICML (2023)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- parameter learning
- markov logic networks
- bayesian network structure learning
- conditional independence
- objective function
- transfer learning
- bayesian network classifiers
- parameter estimation
- sample size
- network structure
- markov blanket
- belief propagation
- maximum likelihood estimation
- probabilistic model
- probabilistic graphical models
- clustering algorithm