Metalearners for Estimating Heterogeneous Treatment Effects using Machine Learning

Provides a canonical overview or reference point for the relevant DoOperator research area.

The standard S-learner, T-learner, and X-learner framing for estimating heterogeneous treatment effects with machine learning.

Use when orienting a new paper, blog post, benchmark, or research plan in this area.

Do not cite the overview as evidence that a specific method works in a specific deployment setting without checking the underlying primary paper.