Proximal Causal

Proximal causal learning addresses causal inference challenges arising from unobserved confounding variables by leveraging observable "proxy" variables that are related to the unobserved confounders. Current research focuses on developing robust estimation methods, particularly doubly robust estimators and kernel-based approaches, for various treatment types (binary and continuous) and data modalities (including text data). This framework is proving valuable in diverse applications, such as recommendation systems and domain adaptation, by enabling more accurate causal effect estimation even when complete confounder information is unavailable.

Papers

March 12, 2024

Proxy Methods for Domain Adaptation
Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton
Domain Adaptation Latent Variable Covariate Shift Latent Confounders Proximal Causal Proxy Denoising

January 12, 2024

Proximal Causal Inference With Text Data
Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
Causal Inference Text Data Proximal Causal Causal Text Mining

September 22, 2023

Doubly Robust Proximal Causal Learning for Continuous Treatments
Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun
Causal Effect Estimation Influence Function Nuisance Parameter Valued Treatment Doubly Robust Proximal Causal

February 10, 2023

Debiasing Recommendation by Learning Identifiable Latent Confounders
Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo
Unobserved Confounders Latent Confounders Debiased Recommendation Counterfactual Prompting Proximal Causal

January 26, 2023

Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup, Yifan Cui
Loss Function Heterogeneous Treatment Effect Conditional Average Treatment Effect B Learner Proximal Causal

October 29, 2022

Spectral Representation Learning for Conditional Moment Models
Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf
Causal Inference Conditional Moment Restriction Proximal Causal

September 21, 2022

Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao, Zhengling Qi, Xiaoke Zhang
Markov Decision Process Policy Evaluation Episodic Markov Decision Process Nonparametric Instrumental Variable Proximal Causal