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Yuta Saito
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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
2782020
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
1072020
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
94*2020
Doubly robust estimator for ranking metrics with post-click conversions
Y Saito
Proceedings of the 14th ACM Conference on Recommender Systems, 92-100, 2020
682020
Unbiased pairwise learning from biased implicit feedback
Y Saito
Proceedings of the 2020 ACM SIGIR on International Conference on Theory of …, 2020
62*2020
Counterfactual learning and evaluation for recommender systems: Foundations, implementations, and recent advances
Y Saito, T Joachims
Proceedings of the 15th ACM Conference on Recommender Systems, 828-830, 2021
512021
Counterfactual cross-validation: Stable model selection procedure for causal inference models
Y Saito, S Yasui
International Conference on Machine Learning, 8398-8407, 2020
45*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
442022
Off-policy evaluation for large action spaces via embeddings
Y Saito, T Joachims
arXiv preprint arXiv:2202.06317, 2022
422022
Evaluating the robustness of off-policy evaluation
Y Saito, T Udagawa, H Kiyohara, K Mogi, Y Narita, K Tateno
Proceedings of the 15th ACM Conference on Recommender Systems, 114-123, 2021
352021
Optimal off-policy evaluation from multiple logging policies
N Kallus, Y Saito, M Uehara
International Conference on Machine Learning, 5247-5256, 2021
322021
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
262019
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking
Y Saito, T Joachims
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
242022
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
19*2020
Off-policy evaluation for large action spaces via conjunct effect modeling
Y Saito, Q Ren, T Joachims
international conference on Machine learning, 29734-29759, 2023
182023
Policy-adaptive estimator selection for off-policy evaluation
T Udagawa, H Kiyohara, Y Narita, Y Saito, K Tateno
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10025 …, 2023
162023
Counterfactual evaluation and learning for interactive systems: Foundations, implementations, and recent advances
Y Saito, T Joachims
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
132022
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
112021
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift
M Nomura, Y Saito
arXiv preprint arXiv:2006.10600, 2020
112020
CONSEQUENCES—Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
O Jeunen, T Joachims, H Oosterhuis, Y Saito, F Vasile
Proceedings of the 16th ACM Conference on Recommender Systems, 654-657, 2022
92022
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