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stat.ML2025
A Sensitivity Approach to Causal Inference Under Limited Overlap
Yuanzhe Ma, Yian Huang, Hongseok Namkoong
Limited overlap between treated and control groups is a key challenge in observational analysis. Standard approaches like trimming importance weights can reduce variance but introd…
stat.ML2024
C-Learner: Constrained Learning for Causal Inference
Tiffany Tianhui Cai, Yuri Fonseca, Kaiwen Hou +1
Debiasing methods such as augmented inverse propensity weighting (AIPW), and targeted maximum likelihood estimation (TMLE) enjoy asymptotic properties like semiparametric efficienc…