| 2026 | WWW | Off-Policy Learning with Limited Supply. | Koichi Tanaka, Ren Kishimoto, Bushun Kawagishi, Yusuke Narita, Yasuo Yamamoto, Nobuyuki Shimizu, Yuta Saito |
| 2025 | ICLR | Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits. | Yuta Natsubori, Masataka Ushiku, Yuta Saito |
| 2025 | ICLR | POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition. | Yuta Saito, Jihan Yao, Thorsten Joachims |
| 2025 | ICLR | A General Framework for Off-Policy Learning with Partially-Observed Reward. | Rikiya Takehi, Masahiro Asami, Kosuke Kawakami, Yuta Saito |
| 2025 | KDD | Off-Policy Evaluation and Learning for the Future under Non-Stationarity. | Tatsuhiro Shimizu, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Kei Tateno, Takuma Udagawa, Yuta Saito |
| 2025 | RecSys | Off-Policy Evaluation and Learning for Matching Markets. | Yudai Hayashi, Shuhei Goda, Yuta Saito |
| 2025 | RecSys | An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization. | Haruka Kiyohara, Daniel Yiming Cao, Yuta Saito, Thorsten Joachims |
| 2025 | RecSys | CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. | Harrie Oosterhuis, Olivier Jeunen, Yuta Saito, Yixin Wang, Flavian Vasile, Thorsten Joachims |
| 2024 | ICLR | Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. | Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito |
| 2024 | IJCAI | Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It. | Yuta Saito, Masahiro Nomura |
| 2024 | ISITA | Bounds for Message Authentication with Partially Leaked Secret Key Using Conditional Rnyi Entropy. | Yuta Saito, Shun Watanabe |
| 2024 | RecSys | CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. | Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang |
| 2024 | RecSys | Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. | Tatsuhiro Shimizu, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito |
| 2024 | WWW | Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. | Haruka Kiyohara, Masahiro Nomura, Yuta Saito |
| 2024 | WWW | Long-term Off-Policy Evaluation and Learning. | Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas |
| 2024 | WWW | Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. | Riku Togashi, Kenshi Abe, Yuta Saito |
| 2023 | AAAI | Policy-Adaptive Estimator Selection for Off-Policy Evaluation. | Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno |
| 2023 | ICML | Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling. | Yuta Saito, Qingyang Ren, Thorsten Joachims |
| 2023 | KDD | Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. | Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito |
| 2023 | RecSys | CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. | Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang |
| 2022 | ICML | Off-Policy Evaluation for Large Action Spaces via Embeddings. | Yuta Saito, Thorsten Joachims |
| 2022 | IJCAI | Towards Resolving Propensity Contradiction in Offline Recommender Learning. | Yuta Saito, Masahiro Nomura |
| 2022 | KDD | Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking. | Yuta Saito, Thorsten Joachims |
| 2022 | KDD | Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances. | Yuta Saito, Thorsten Joachims |
| 2022 | RecSys | CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. | Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile |
| 2022 | WSDM | 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 |
| 2021 | CIKM | Efficient Hyperparameter Optimization under Multi-Source Covariate Shift. | Masahiro Nomura, Yuta Saito |
| 2021 | ICML | Optimal Off-Policy Evaluation from Multiple Logging Policies. | Nathan Kallus, Yuta Saito, Masatoshi Uehara |
| 2021 | RecSys | Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances. | Yuta Saito, Thorsten Joachims |
| 2021 | RecSys | Evaluating the Robustness of Off-Policy Evaluation. | Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno |
| 2021 | SIGIR | A Large-scale Dataset for Decision Making Algorithms. | Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita |
| 2020 | ICML | Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models. | Yuta Saito, Shota Yasui |
| 2020 | ICTIR | Unbiased Pairwise Learning from Biased Implicit Feedback. | Yuta Saito |
| 2020 | RecSys | Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions. | Yuta Saito |
| 2020 | SIGIR | Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback. | Yuta Saito |
| 2020 | SIGIR | Dual Learning Algorithm for Delayed Conversions. | Yuta Saito, Gota Morishita, Shota Yasui |
| 2020 | WSDM | Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback. | Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata |
| 2020 | SDM | Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments. | Yuta Saito, Hayato Sakata, Kazuhide Nakata |
| 2019 | SDM | Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data. | Yuta Saito, Hayato Sakata, Kazuhide Nakata |
| 2018 | ICIP | Recovering Texture of Denoised Image via its Statistical Analysis. | Yuta Saito, Takamichi Miyata |
| 2009 | VTC | Cooperative Communication Using a Virtual MIMO System with a Feedback Channel for Uplink Transmission in Cellular Radio. | Yuta Saito, Yasutaka Ogawa, Takeo Ohgane, Toshihiko Nishimura |