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].