Prequential MDL for Causal Structure Learning with Neural Networks.
Jörg BornscheinSilvia ChiappaAlan MalekNan Rosemary KePublished in: CoRR (2021)
Keyphrases
- structure learning
- bayesian networks
- neural network
- scoring function
- markov blanket
- graphical models
- sample size
- conditional independence
- model selection
- parameter learning
- markov logic networks
- bayesian network structure learning
- bayesian network classifiers
- parameter estimation
- causal relationships
- transfer learning
- causal models
- probability distribution
- causal discovery
- probabilistic model
- probabilistic reasoning
- fuzzy logic
- network structure
- posterior probability
- random variables
- causal reasoning
- conditional independence tests
- conditional probabilities
- probabilistic graphical models
- fuzzy neural network
- conditional random fields
- k nearest neighbor
- higher order
- least squares
- recommender systems
- feature selection