Deep Structural Causal Models for Tractable Counterfactual Inference.
Nick PawlowskiDaniel Coelho de CastroBen GlockerPublished in: CoRR (2020)
Keyphrases
- causal models
- causal reasoning
- structural model
- belief nets
- causal inference
- causal discovery
- directed acyclic graph
- conditional independence
- causal relations
- structural equation models
- causal relationships
- bayes nets
- bayesian networks
- causal graph
- observational data
- tractable cases
- causal structure
- computational complexity
- probabilistic reasoning
- conditional independencies
- np hard
- belief networks