asymptotic efficiency 1causal inference 1missing data 1policy learning 1treatment effect estimation 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Learning Who to Treat When Treatment is Missing
Johnna Sundberg, Rayid Ghani, Eli Ben-Michael +1
The paper develops efficient estimators for policy learning when treatment assignments are missing, handling both missing-at-random and missing-completely-conditionally-at-random s…
stat.ME2025
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
Zhenghao Zeng, David Arbour, Avi Feller +3
Human annotations play a crucial role in evaluating the performance of GenAI models. Two common challenges in practice, however, are missing annotations (the response variable of i…
stat.ME2025
Nonparametric Estimation of Local Treatment Effects with Continuous Instruments
Zhenghao Zeng, Alexander W. Levis, JungHo Lee +2
Instrumental variable methods are widely used to address unmeasured confounding, yet much of the existing literature has focused on the binary instrument setting. Extensions to con…