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ORCIDHaruka Kiyohara
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2020 – today
- 2024
[c8]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito:
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. ICLR 2024- [c7]Tatsuhiro Shimizu
, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. RecSys 2024: 733-741 - [c6]Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. WWW 2024: 3150-3161 - [i11]Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. CoRR abs/2402.02171 (2024) - [i10]Tatsuhiro Shimizu, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. CoRR abs/2408.11202 (2024) - 2023
- [c5]Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno:
Policy-Adaptive Estimator Selection for Off-Policy Evaluation. AAAI 2023: 10025-10033 - [c4]Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito:
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. KDD 2023: 1154-1163 - [c3]Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun:
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. NeurIPS 2023 - [i9]Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito:
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. CoRR abs/2306.15098 (2023) - [i8]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito:
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation. CoRR abs/2311.18206 (2023) - [i7]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito:
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. CoRR abs/2311.18207 (2023) - 2022
- [c2]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: 487-497 - [i6]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 abs/2202.01562 (2022) - [i5]Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun:
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. CoRR abs/2207.13081 (2022) - [i4]Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno:
Policy-Adaptive Estimator Selection for Off-Policy Evaluation. CoRR abs/2211.13904 (2022) - 2021
- [c1]Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno:
Evaluating the Robustness of Off-Policy Evaluation. RecSys 2021: 114-123 - [i3]Akihisa Watanabe, Michiya Kuramata, Kaito Majima, Haruka Kiyohara, Kensho Kondo, Kazuhide Nakata:
Constrained Generalized Additive 2 Model with Consideration of High-Order Interactions. CoRR abs/2106.02836 (2021) - [i2]Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno:
Evaluating the Robustness of Off-Policy Evaluation. CoRR abs/2108.13703 (2021) - [i1]Haruka Kiyohara, Kosuke Kawakami, Yuta Saito:
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation. CoRR abs/2109.08331 (2021)
Coauthor Index
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