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Yuta Saito
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Year
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Y Saito, S Yaginuma, Y Nishino, H Sakata, K Nakata
Proceedings of the 13th International Conference on Web Search and Data …, 2020
682020
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback
Y Saito
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
272020
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation
Y Saito, A Shunsuke, M Matsutani, N Yusuke
https://arxiv.org/abs/2008.07146, 2020
21*2020
Doubly robust estimator for ranking metrics with post-click conversions
Y Saito
Fourteenth ACM Conference on Recommender Systems, 92-100, 2020
162020
Unbiased pairwise learning from biased implicit feedback
Y Saito
Proceedings of the 2020 ACM SIGIR on International Conference on Theory of …, 2020
16*2020
Counterfactual cross-validation: Stable model selection procedure for causal inference models
Y Saito, S Yasui
International Conference on Machine Learning, 8398-8407, 2020
14*2020
Optimal off-policy evaluation from multiple logging policies
N Kallus, Y Saito, M Uehara
International Conference on Machine Learning, 5247-5256, 2021
122021
Doubly robust prediction and evaluation methods improve uplift modeling for observational data
Y Saito, H Sakata, K Nakata
Proceedings of the 2019 SIAM International Conference on Data Mining, 468-476, 2019
102019
Evaluating the robustness of off-policy evaluation
Y Saito, T Udagawa, H Kiyohara, K Mogi, Y Narita, K Tateno
Fifteenth ACM Conference on Recommender Systems, 114-123, 2021
62021
Counterfactual learning and evaluation for recommender systems: Foundations, implementations, and recent advances
Y Saito, T Joachims
Fifteenth ACM Conference on Recommender Systems, 828-830, 2021
52021
Dual Learning Algorithm for Delayed Feedback in Display Advertising
Y Saito, G Morishita, S Yasui
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
4*2020
Doubly robust off-policy evaluation for ranking policies under the cascade behavior model
H Kiyohara, Y Saito, T Matsuhiro, Y Narita, N Shimizu, Y Yamamoto
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
32022
Unbiased lift-based bidding system
D Moriwaki, Y Hayakawa, I Munemasa, Y Saito, A Matsui
arXiv preprint arXiv:2007.04002, 2020
32020
Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments
Y Saito, H Sakata, K Nakata
Proceedings of the 2020 SIAM International Conference on Data Mining, 406-414, 2020
32020
Off-Policy Evaluation for Large Action Spaces via Embeddings
Y Saito, T Joachims
arXiv preprint arXiv:2202.06317, 2022
22022
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation
H Kiyohara, K Kawakami, Y Saito
arXiv preprint arXiv:2109.08331, 2021
22021
自然実験としてのアルゴリズム: 機械学習・市場設計・公共政策への統一アプローチ
成田悠輔, 粟飯原俊介, 齋藤優太, 松谷恵, 矢田紘平
RIETI highlight, 44-46, 2021
12021
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift
M Nomura, Y Saito
arXiv preprint arXiv:2006.10600, 2020
1*2020
会議報告: IEEE 4th International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2021)/The 15th ACM Conference on Recommender Systems (RecSys 2021)
清田陽司, 神嶌敏弘, 齋藤優太
人工知能 37 (1), 103-107, 2022
2022
A Real-World Implementation of Unbiased Lift-based Bidding System
D Moriwaki, Y Hayakawa, A Matsui, Y Saito, I Munemasa, M Shibata
2021 IEEE International Conference on Big Data (Big Data), 1877-1888, 2021
2021
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Articles 1–20