Summary
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In this chapter, we have learned about the following topics:
- Average treatment effect;
- Regression for causal inference;
- Randomized controlled trials;
- Outcome maximization with a bandit algorithm;
- A contextual bandit.
General references
Cho, Kyunghyun (2024). "A Brief Introduction to Causal Inference in Machine Learning". arXiv:2405.08793 [cs.LG].