Proximal Causal Inference

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9 papers4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Flexible Doubly Robust Proximal Causal Inference for Censored Outcomes
Oct 14, 2026Dhanajit Brahma, Ruolin Meng, Lawrence Carin +1Proximal Causal Inference Causal Effect Estimation
Duke University
ProximalFM: Amortized Proximal Causal Inference under Hidden Confounding
Oct 6, 2026Christophe Muller, Ayub Kharel, Alex Luedtke +6Causal Inference Amortized Inference
University of Oxford · Harvard University · University of Illinois Urbana-Champaign +5
Proximal Causal Learning under Unmeasured Confounding
Oct 3, 2026Ying Tang, Yi WangProximal Causal Inference Causal Effect Estimation
Shanghai University of International Business and Economics, Shanghai 201620, China
Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding
Sep 30, 2026Yonghan JungCausal Effect Estimation Proximal Causal Inference
School of Information Sciences University of Illinois Urbana-Champaign
Spatiotemporal Proximal Causal Inference under Hidden Confounding and Interference
Aug 2, 2026Omar Faruque, Pavan Raj Ravi, Jianwu WangCausal Effect Estimation Proximal Causal Inference
University of Maryland, Baltimore County
Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
May 16, 2026Tomàs Garriga, Alejandro Almodóvar, Axel Brando +3Causal Effect Estimation Proximal Causal Inference
1Novartis · 2Barcelona Supercomputing Center · 3Universidad Politécnica de Madrid
Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies
Mar 16, 2026Zahra Rahiminasab, Reza Soumi, Arto Klami +1Proximal Causal Inference Distribution Shift Robustness
Department of Computer Science, Aalto University · Department of Computer Science, University of Helsinki · ELLIS Institute Finland +1
Proxy-Guided Measurement Calibration
Mar 10, 2026Saketh Vishnubhatla, Shu Wan, Andre Harrison +2Proximal Causal Inference Causal Inference
Arizona State University, Tempe, AZ · DEVCOM Army Research Lab, Adelphi, MD
Instrumental and Proximal Causal Inference with Gaussian Processes
Mar 2, 2026Yuqi Zhang, Krikamol Muandet, Dino Sejdinovic +2Proximal Causal Inference Causal Inference
Department of Statistics and Actuarial Science, University of Hong Kong, Hong Kong · Rational Intelligence Lab, CISPA Helmholtz Center for Information Security, Germany · Australian Institute for Machine Learning, Adelaide University, Australia +1

Oct 14, 2026J/K move · Enter open · S save

Flexible Doubly Robust Proximal Causal Inference for Censored Outcomes

Dhanajit Brahma, Ruolin Meng, Lawrence Carin, Ricardo Henao

Duke University

Proximal Causal Inference Causal Effect Estimation Causal Inference Survival Analysis Doubly Robust Estimation

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Estimating causal effects on right-censored time-to-event outcomes is challenging under unmeasured confounding. Proximal causal inference addresses unmeasured confounding through proxy variables, but existing proximal survival methods rely largely on restrictive parametric bridge models. We introduce Proximal Survival Bridge learning (PSB), a flexible doubly robust proximal framework for censored outcomes. Building on existing proximal identification of treatment-specific survival curves, the framework yields outcome-bridge (OB), treatment-bridge (TB), and doubly robust (DR) estimators, with two flexible bridge learners: PSB-K, a kernel estimator with a low-rank time decomposition, and PSB-N, a neural estimator trained by a projected maximum-moment-restriction loss. Unlike existing flexible proximal learners for scalar outcomes, PSB directly handles censoring and survival-curve targets. On a standard SEM benchmark, a proximal semi-synthetic ACTG study, and the real-world Framingham study, PSB-K performs strongest on SEM and ACTG, whereas PSB-N is the most stable on Framingham. Additional results with modern causal survival baselines, weakened or invalid proxies, and heavier censoring assess robustness across challenging settings.