Yusuke Narita - RankMe

29 papers A* 5A 3Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies. CoRR Koichi Tanaka, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Yuki Sasamoto, Kei Tateno, Takuma Udagawa, Wei-Wei Du, Yuta Saito
2026	A*	`conf`	Off-Policy Learning with Limited Supply. WWW Koichi Tanaka, Ren Kishimoto, Bushun Kawagishi, Yusuke Narita, Yasuo Yamamoto, Nobuyuki Shimizu, Yuta Saito
2026	J	`jnl`	Off-Policy Learning with Limited Supply. CoRR Koichi Tanaka, Ren Kishimoto, Bushun Kawagishi, Yusuke Narita, Yasuo Yamamoto, Nobuyuki Shimizu, Yuta Saito
2025	—	`conf`	Off-Policy Evaluation and Learning for the Future under Non-Stationarity. KDD (1) Tatsuhiro Shimizu, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Kei Tateno, Takuma Udagawa, Yuta Saito
2025	J	`jnl`	Off-Policy Evaluation and Learning for the Future under Non-Stationarity. CoRR Tatsuhiro Shimizu, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Kei Tateno, Takuma Udagawa, Yuta Saito
2025	J	`jnl`	Safely Exploring Novel Actions in Recommender Systems via Deployment-Efficient Policy Learning. CoRR Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno, Takuma Udagawa
2023	A*	`conf`	Counterfactual Learning with General Data-Generating Policies. AAAI Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata
2023	A*	`conf`	Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. KDD Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito
2023	J	`jnl`	Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. CoRR Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito
2023	A*	`conf`	Policy-Adaptive Estimator Selection for Off-Policy Evaluation. AAAI Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno
2022	J	`jnl`	Counterfactual Learning with General Data-generating Policies. CoRR Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata
2022	A	`conf`	Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. WSDM Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto
2022	J	`jnl`	Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. CoRR Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto
2022	J	`jnl`	Policy-Adaptive Estimator Selection for Off-Policy Evaluation. CoRR Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno
2021	—	`conf`	A Large-scale Dataset for Decision Making Algorithms. CSR-Sim4IR@SIGIR Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
2021	J	`jnl`	A Theory of Quasi-Experimental Evaluation of School Quality. Manag. Sci. Yusuke Narita
2021	J	`jnl`	Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules. CoRR Yusuke Narita, Kohei Yata
2021	A	`conf`	Debiased Off-Policy Evaluation for Recommendation Systems. RecSys Yusuke Narita, Shota Yasui, Kohei Yata
2021	A	`conf`	Evaluating the Robustness of Off-Policy Evaluation. RecSys Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno
2021	J	`jnl`	Evaluating the Robustness of Off-Policy Evaluation. CoRR Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno
2021	—	`conf`	Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation. NeurIPS Datasets and Benchmarks Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
2020	J	`jnl`	A Large-scale Open Dataset for Bandit Algorithms. CoRR Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
2020	J	`jnl`	Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm. CoRR Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita
2020	J	`jnl`	Safe Counterfactual Reinforcement Learning. CoRR Yusuke Narita, Shota Yasui, Kohei Yata
2019	A*	`conf`	Efficient Counterfactual Learning from Bandit Feedback. AAAI Yusuke Narita, Shota Yasui, Kohei Yata
2018	J	`jnl`	Efficient Counterfactual Learning from Bandit Feedback. CoRR Yusuke Narita, Shota Yasui, Kohei Yata
2016	J	`jnl`	Improving schools through school choice: A market design approach. J. Econ. Theory John William Hatfield, Fuhito Kojima, Yusuke Narita
2016	—	`conf`	Interactive Object Extraction from a Video Based on Seed-Line Tracking. ICMSSP Takahiro Hayashi, Yusuke Narita
2014	J	`jnl`	Many-to-many matching with max-min preferences. Discret. Appl. Math. John William Hatfield, Fuhito Kojima, Yusuke Narita