Paper 'On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization' accepted to ICML’25 (2025)
Paper 'Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials' accepted to Econometric Reviews (2025)
Paper 'LLM-based Recommendation in Content Promotion: Empirical Evidence from an ABEMA Field Experiment' accepted to CODE@MIT’24 (2024)
Paper 'Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction' accepted to ICML’24 (2024)
Paper 'Distributional Treatment Effects of Content Promotion: Empirical Evidence from an ABEMA Field Experiment' accepted to CODE@MIT’23 (2023)
Co-translated 'Causal Inference: The Mixtape' into Japanese (2023)
Authored an introductory textbook on Causal Inference/Econometrics, published in 2020
Published multiple papers at top-tier conferences and journals including NeurIPS, ICML, KDD, RecSys, SIGIR, AAAI, and The Web Conference, covering topics such as delayed feedback modeling, off-policy evaluation, uplift modeling, and causal inference