Differentiable and Transportable Structure Learning.
Jeroen BerrevoetsNabeel SeedatFergus ImrieMihaela van der SchaarPublished in: CoRR (2022)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- conditional independence
- parameter learning
- objective function
- markov logic networks
- parameter estimation
- bayesian network structure learning
- transfer learning
- markov blanket
- network structure
- markov networks
- bayesian network classifiers
- machine learning
- social networks
- maximum likelihood estimation
- first order logic
- information extraction