Elements of Causal Inference: Foundations and Learning Algorithms

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

A machine-learning-facing treatment of structural causal models, causal discovery, invariance, and causal learning algorithms.

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Do not cite the overview as evidence that a specific method works in a specific deployment setting without checking the underlying primary paper.