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Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking


Jun 15, 2022
Yuta Saito, Thorsten Joachims

* accepted at KDD2022 

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A Real-World Implementation of Unbiased Lift-based Bidding System


Feb 23, 2022
Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata

* 2021 IEEE International Conference on Big Data (Big Data) 

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Off-Policy Evaluation for Large Action Spaces via Embeddings


Feb 13, 2022
Yuta Saito, Thorsten Joachims

* 32 pages 

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Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model


Feb 03, 2022
Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto

* WSDM2022 

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Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service


Sep 17, 2021
Yuta Saito, Takuma Udagawa, Kei Tateno

* presented at REVEAL workshop, RecSys2020 

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


Sep 17, 2021
Haruka Kiyohara, Kosuke Kawakami, Yuta Saito

* SimuRec workshop at RecSys2021 

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Evaluating the Robustness of Off-Policy Evaluation


Aug 31, 2021
Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno

* Accepted at RecSys2021 

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Optimal Off-Policy Evaluation from Multiple Logging Policies


Oct 21, 2020
Nathan Kallus, Yuta Saito, Masatoshi Uehara

* Under Review 

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A Large-scale Open Dataset for Bandit Algorithms


Aug 17, 2020
Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita


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Unbiased Lift-based Bidding System


Jul 09, 2020
Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui


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