Causal inference and discovery
Cause and effect: identification, estimation and discovery of causal structure.
- Causal graphical models
- Structural causal models
- Identification and do-calculus
- Potential outcomes
- Treatment effect estimation
- Causal discovery
- Counterfactual reasoning
- Causal representation learning
- Causality and invariance in ML
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