Evaluating the Robustness of Off-Policy Evaluation. - Yuta Saito; Takuma Udagawa; Haruka Kiyohara; Kazuki Mogi; Yusuke Narita; Kei Tateno (RecSys, 2021)

Constrained Generalized Additive 2 Model with Consideration of High-Order Interactions. - Akihisa Watanabe; Michiya Kuramata; Kaito Majima; Haruka Kiyohara; Kensho Kondo; Kazuhide Nakata (CoRR, 2021)

Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation. - Haruka Kiyohara; Kosuke Kawakami; Yuta Saito (CoRR, 2021)

Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. - Haruka Kiyohara; Yuta Saito; Tatsuya Matsuhiro; Yusuke Narita; Nobuyuki Shimizu; Yasuo Yamamoto (WSDM, 2022)

Policy-Adaptive Estimator Selection for Off-Policy Evaluation. - Takuma Udagawa; Haruka Kiyohara; Yusuke Narita; Yuta Saito; Kei Tateno (AAAI, 2023)

Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. - Haruka Kiyohara; Masatoshi Uehara; Yusuke Narita; Nobuyuki Shimizu; Yasuo Yamamoto; Yuta Saito (KDD, 2023)

Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. - Masatoshi Uehara; Haruka Kiyohara; Andrew Bennett; Victor Chernozhukov; Nan Jiang 008; Nathan Kallus; Chengchun Shi; Wen Sun 002 (NeurIPS, 2023)

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation. - Haruka Kiyohara; Ren Kishimoto; Kosuke Kawakami; Ken Kobayashi; Kazuhide Nakata; Yuta Saito (CoRR, 2023)

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. - Haruka Kiyohara; Ren Kishimoto; Kosuke Kawakami; Ken Kobayashi; Kazuhide Nakata; Yuta Saito (ICLR, 2024)

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. - Tatsuhiro Shimizu; Koichi Tanaka; Ren Kishimoto; Haruka Kiyohara; Masahiro Nomura; Yuta Saito (RecSys, 2024)

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. - Haruka Kiyohara; Masahiro Nomura; Yuta Saito (WWW, 2024)

Policy Design for Two-sided Platforms with Participation Dynamics. - Haruka Kiyohara; Fan Yao; Sarah Dean (CoRR, 2025)

Prompt Optimization with Logged Bandit Data. - Haruka Kiyohara; Daniel Yiming Cao; Yuta Saito; Thorsten Joachims (CoRR, 2025)