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Causal Inference

Overlap, cross-fitting, double robustness, Neyman orthogonality, and doubly-robust policy evaluation.

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1. What happens when causal overlap becomes weak?
Machine LearningCausal Inference & Policy Evaluation
Medium —
2. What is the main statistical role of cross-fitting?
Machine LearningCausal Inference & Policy Evaluation
Medium —
3. What does double robustness actually guarantee?
Machine LearningCausal Inference & Policy Evaluation
Medium —
4. Why can doubly robust off-policy evaluation outperform importance sampling?
Machine LearningCausal Inference & Policy Evaluation
Hard —
5. Blocking the Back Door
causal inferenceconfounders +1
 Hard —
6. What does Neyman orthogonality protect against?
Machine LearningCausal Inference & Policy Evaluation
Hard —

Learning Resources

Causal Inference: The Mixtape (free)

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