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Tomu Hirata

2 accepted papers

2025

Beyond the Average: Distributional Causal Inference under Imperfect Compliance

NeurIPS 2025poster

We study the estimation of distributional treatment effects in randomized experiments with imperfect compliance. When participants do not adhere to their assigned treatments, we leverage treatment assignment as an instrumental variable to identify the local distributional treatment effect—the differ…

Cited by 0SourcecodeScholar
2025

On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization

ICML 2025poster

This paper focuses on the estimation of distributional treatment effects in randomized experiments that use covariate-adaptive randomization (CAR). These include designs such as Efron's biased-coin design and stratified block randomization, where participants are first grouped into strata based on b…