On Causal Inference in the Presence of Interference

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

A compact overview of causal inference when one unit's treatment can affect another unit's outcome, including finite-sample inference, IPW estimators, and estimands.

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Do not cite the overview as evidence that a specific method works in a specific deployment setting without checking the underlying primary paper.