Haruka Kiyohara

According to our database, Haruka Kiyohara authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction.

Haruka Kiyohara, Masahiro Nomura, Yuta Saito

CoRR, 2024

2023

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation.

Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito

CoRR, 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

Future-Dependent Value-Based Off-Policy Evaluation in POMDPs.

Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Off-Policy Evaluation of Ranking Policies under Diverse User Behavior.

Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Policy-Adaptive Estimator Selection for Off-Policy Evaluation.

Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation.

Haruka Kiyohara, Kosuke Kawakami, Yuta Saito

CoRR, 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

Evaluating the Robustness of Off-Policy Evaluation.

Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021