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