Yasui, Shota

8 publications

NeurIPS 2025 Beyond the Average: Distributional Causal Inference Under Imperfect Compliance Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui

ICML 2025 On Efficient Estimation of Distributional Treatment Effects Under Covariate-Adaptive Randomization Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui

ICML 2024 Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction Undral Byambadalai, Tatsushi Oka, Shota Yasui

ICLR 2022 Learning Causal Models from Conditional Moment Restrictions by Importance Weighting Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi

NeurIPS 2021 The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy Masahiro Kato, Kenichiro McAlinn, Shota Yasui

ICML 2020 Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models Yuta Saito, Shota Yasui

NeurIPS 2020 Off-Policy Evaluation and Learning for External Validity Under a Covariate Shift Masatoshi Uehara, Masahiro Kato, Shota Yasui

AAAI 2019 Efficient Counterfactual Learning from Bandit Feedback Yusuke Narita, Shota Yasui, Kohei Yata