2025
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
ICML 2025poster
A major challenge in estimating treatment effects in observational studies is the reliance on untestable conditions such as the assumption of no unmeasured confounding. In this work, we propose an algorithm that can falsify the assumption of no unmeasured confounding in a setting with observational…