3 papers
stat.ME2026
Proximal causal inference through cross-proxy balancing
Grace V. Ringlein, Trang Q. Nguyen, Elizabeth A. Stuart +1
Proximal causal inference identifies causal effects in the presence of unmeasured confounding by drawing on two sets of proxy variables. Identification typically utilizes bridge fu…
stat.ME2025
Demystifying Proximal Causal Inference
Grace V. Ringlein, Trang Quynh Nguyen, Peter P. Zandi +2
Proximal causal inference (PCI) has emerged as a promising framework for identifying and estimating causal effects in the presence of unobserved confounders. While many traditional…
cs.LG2025
Regularizing Extrapolation in Causal Inference
David Arbour, Harsh Parikh, Bijan Niknam +3
Many common estimators in machine learning and causal inference are linear smoothers, where the prediction is a weighted average of the training outcomes. Some estimators, such as…