| 2025 | ICML | On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization. | Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui |
| 2024 | ICML | Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction. | Undral Byambadalai, Tatsushi Oka, Shota Yasui |
| 2022 | ICLR | Learning Causal Models from Conditional Moment Restrictions by Importance Weighting. | Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi |
| 2022 | KDD | Learning Classifiers under Delayed Feedback with a Time Window Assumption. | Shota Yasui, Masahiro Kato |
| 2021 | RecSys | Debiased Off-Policy Evaluation for Recommendation Systems. | Yusuke Narita, Shota Yasui, Kohei Yata |
| 2020 | ICML | Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models. | Yuta Saito, Shota Yasui |
| 2020 | WWW | A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback. | Shota Yasui, Gota Morishita, Komei Fujita, Masashi Shibata |
| 2020 | SIGIR | Dual Learning Algorithm for Delayed Conversions. | Yuta Saito, Gota Morishita, Shota Yasui |
| 2019 | AAAI | Efficient Counterfactual Learning from Bandit Feedback. | Yusuke Narita, Shota Yasui, Kohei Yata |