Structure Learning for Cyclic Linear Causal Models.
Carlos AméndolaPhilipp DettlingMathias DrtonFederica OnoriJun WuPublished in: UAI (2020)
Keyphrases
- structure learning
- causal models
- conditional independence
- structural equation models
- bayesian networks
- causal discovery
- graphical models
- causal relationships
- directed acyclic graph
- parameter learning
- markov logic networks
- causal graph
- causal reasoning
- random variables
- parameter estimation
- causal structure
- machine learning
- sample size
- transfer learning
- training data