Yusuke Narita

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 21

Top Topics

Temporal Difference

Object Extraction

Contextual Bandit

Reinforcement Learning

Top Venues

Publications

Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. CoRR (2023)
Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata
Counterfactual Learning with General Data-Generating Policies. AAAI (2023)
Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno
Policy-Adaptive Estimator Selection for Off-Policy Evaluation. AAAI (2023)
Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. KDD (2023)
Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata
Counterfactual Learning with General Data-generating Policies. CoRR (2022)
Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. CoRR (2022)
Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. WSDM (2022)
Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno
Policy-Adaptive Estimator Selection for Off-Policy Evaluation. CoRR (2022)
Yusuke Narita
A Theory of Quasi-Experimental Evaluation of School Quality. Manag. Sci. 67 (8) (2021)
Yusuke Narita, Kohei Yata
Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules. CoRR (2021)
Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno
Evaluating the Robustness of Off-Policy Evaluation. RecSys (2021)
Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation. NeurIPS Datasets and Benchmarks (2021)
Yusuke Narita, Shota Yasui, Kohei Yata
Debiased Off-Policy Evaluation for Recommendation Systems. RecSys (2021)
Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno
Evaluating the Robustness of Off-Policy Evaluation. CoRR (2021)
Yusuke Narita, Shota Yasui, Kohei Yata
Safe Counterfactual Reinforcement Learning. CoRR (2020)
Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
A Large-scale Open Dataset for Bandit Algorithms. CoRR (2020)
Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita
Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm. CoRR (2020)
Yusuke Narita, Shota Yasui, Kohei Yata
Efficient Counterfactual Learning from Bandit Feedback. AAAI (2019)
Yusuke Narita, Shota Yasui, Kohei Yata
Efficient Counterfactual Learning from Bandit Feedback. CoRR (2018)
John William Hatfield, Fuhito Kojima, Yusuke Narita
Improving schools through school choice: A market design approach. J. Econ. Theory 166 (2016)
Takahiro Hayashi, Yusuke Narita
Interactive Object Extraction from a Video Based on Seed-Line Tracking. ICMSSP (2016)
John William Hatfield, Fuhito Kojima, Yusuke Narita
Many-to-many matching with max-min preferences. Discret. Appl. Math. 179 (2014)