Constraint-Free Structure Learning with Smooth Acyclic Orientations.
Riccardo MassiddaFrancesco LandolfiMartina CinquiniDavide BacciuPublished in: ICLR (2024)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- conditional independence
- markov logic networks
- parameter estimation
- parameter learning
- transfer learning
- bayesian network structure learning
- bayesian network classifiers
- np hard
- markov networks
- structure learning algorithm
- network structure
- sample size
- machine learning
- training data
- conditional probabilities
- probability distribution
- probabilistic model
- hidden markov models