4 papers
Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction
Li Puyin, Jiyuan Tan, Ahmad Jabbar +2
We present a method for diagnosing interpretation in neural networks by identifying an input subspace where a proposed interpretation is highly faithful. Our method is particularly…
Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
Jiyuan Tan, Jose Blanchet, Vasilis Syrgkanis
Policy-Relevant Treatment Effects (PRTEs) are generally not point-identified under standard Instrumental Variable (IV) assumptions when the instrument generates limited support in…
Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle
Jiyuan Tan, Vasilis Syrgkanis
We study adaptive estimation and inference in ill-posed linear inverse problems defined by conditional moment restrictions. Existing regularized estimators such as Regularized Deep…
Estimation of Treatment Effects in Extreme and Unobserved Data
Jiyuan Tan, Jose Blanchet, Vasilis Syrgkanis
Causal effect estimation seeks to determine the impact of an intervention from observational data. However, the existing causal inference literature primarily addresses treatment e…