Yuta Saito - RankMe

94 papers A* 20A 15B 1C 1Misc 1Journal 46Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching. CoRR Ren Kishimoto, Rikiya Takehi, Koichi Tanaka, Masahiro Nomura, Riku Togashi, Yoji Tomita, Yuta Saito
2026	J	`jnl`	Combinatorial Allocation Bandits with Nonlinear Arm Utility. CoRR Yuki Shibukawa, Koichi Tanaka, Yuta Saito, Shinji Ito
2026	J	`jnl`	Impossibility Bounds Using Conditional Rényi Entropy in Authentication Codes with Partially Leaked Key. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Yuta Saito, Shun Watanabe
2026	J	`jnl`	Off-Policy Evaluation and Learning for Survival Outcomes under Censoring. CoRR Kohsuke Kubota, Mitsuhiro Takahashi, Yuta Saito
2026	J	`jnl`	Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies. CoRR Koichi Tanaka, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Yuki Sasamoto, Kei Tateno, Takuma Udagawa, Wei-Wei Du, Yuta Saito
2026	A*	`conf`	Off-Policy Learning with Limited Supply. WWW Koichi Tanaka, Ren Kishimoto, Bushun Kawagishi, Yusuke Narita, Yasuo Yamamoto, Nobuyuki Shimizu, Yuta Saito
2026	J	`jnl`	Off-Policy Learning with Limited Supply. CoRR Koichi Tanaka, Ren Kishimoto, Bushun Kawagishi, Yusuke Narita, Yasuo Yamamoto, Nobuyuki Shimizu, Yuta Saito
2026	J	`jnl`	Taxing platforms with multi-homing. Math. Soc. Sci. Yuta Saito, Yeming Zhang
2025	A*	`conf`	A General Framework for Off-Policy Learning with Partially-Observed Reward. ICLR Rikiya Takehi, Masahiro Asami, Kosuke Kawakami, Yuta Saito
2025	J	`jnl`	A General Framework for Off-Policy Learning with Partially-Observed Reward. CoRR Rikiya Takehi, Masahiro Asami, Kosuke Kawakami, Yuta Saito
2025	J	`jnl`	A Method for Assisting Novices Creating Class Diagrams Based on the Instructor's Class Layout. CoRR Yuta Saito, Takehiro Kokubu, Takafumi Tanaka, Atsuo Hazeyama, Hiroaki Hashiura
2025	A	`conf`	An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization. RecSys Haruka Kiyohara, Daniel Yiming Cao, Yuta Saito, Thorsten Joachims
2025	A	`conf`	CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Harrie Oosterhuis, Olivier Jeunen, Yuta Saito, Yixin Wang, Flavian Vasile, Thorsten Joachims
2025	A*	`conf`	Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits. ICLR Yuta Natsubori, Masataka Ushiku, Yuta Saito
2025	J	`jnl`	MultiScale Contextual Bandits for Long Term Objectives. CoRR Richa Rastogi, Yuta Saito, Thorsten Joachims
2025	J	`jnl`	Multiple Function Merging for Code Size Reduction. ACM Trans. Archit. Code Optim. Yuta Saito, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa
2025	A	`conf`	Off-Policy Evaluation and Learning for Matching Markets. RecSys Yudai Hayashi, Shuhei Goda, Yuta Saito
2025	J	`jnl`	Off-Policy Evaluation and Learning for Matching Markets. CoRR Yudai Hayashi, Shuhei Goda, Yuta Saito
2025	—	`conf`	Off-Policy Evaluation and Learning for the Future under Non-Stationarity. KDD (1) Tatsuhiro Shimizu, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Kei Tateno, Takuma Udagawa, Yuta Saito
2025	J	`jnl`	Off-Policy Evaluation and Learning for the Future under Non-Stationarity. CoRR Tatsuhiro Shimizu, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Kei Tateno, Takuma Udagawa, Yuta Saito
2025	A*	`conf`	POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition. ICLR Yuta Saito, Jihan Yao, Thorsten Joachims
2025	J	`jnl`	Prompt Optimization with Logged Bandit Data. CoRR Haruka Kiyohara, Daniel Yiming Cao, Yuta Saito, Thorsten Joachims
2025	J	`jnl`	Safely Exploring Novel Actions in Recommender Systems via Deployment-Efficient Policy Learning. CoRR Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno, Takuma Udagawa
2024	J	`jnl`	A Best-of-Both Approach to Improve Match Predictions and Reciprocal Recommendations for Job Search. CoRR Shuhei Goda, Yudai Hayashi, Yuta Saito
2024	C	`conf`	Bounds for Message Authentication with Partially Leaked Secret Key Using Conditional Rényi Entropy. ISITA Yuta Saito, Shun Watanabe
2024	A	`conf`	CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2024	A	`conf`	Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. RecSys Tatsuhiro Shimizu, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito
2024	J	`jnl`	Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. CoRR Tatsuhiro Shimizu, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito
2024	J	`jnl`	Expectations for the MPC chair and interest rate persistence. Math. Soc. Sci. Yuta Saito
2024	A*	`conf`	Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It. IJCAI Yuta Saito, Masahiro Nomura
2024	J	`jnl`	Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It. CoRR Yuta Saito, Masahiro Nomura
2024	A*	`conf`	Long-term Off-Policy Evaluation and Learning. WWW Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas
2024	J	`jnl`	Long-term Off-Policy Evaluation and Learning. CoRR Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas
2024	A*	`conf`	Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. WWW Haruka Kiyohara, Masahiro Nomura, Yuta Saito
2024	J	`jnl`	Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. CoRR Haruka Kiyohara, Masahiro Nomura, Yuta Saito
2024	J	`jnl`	POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition. CoRR Yuta Saito, Jihan Yao, Thorsten Joachims
2024	A*	`conf`	Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. WWW Riku Togashi, Kenshi Abe, Yuta Saito
2024	J	`jnl`	Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. CoRR Riku Togashi, Kenshi Abe, Yuta Saito
2024	A*	`conf`	Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. ICLR Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
2023	A	`conf`	CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2023	—	`conf`	Highly Scalable Metal Induced Lateral Crystallization (MILC) Techniques for Vertical Si Channel in Ultra-High (> 300 Layers) 3D Flash Memory. VLSI Technology and Circuits Noritaka Ishihara, Yusuke Shimada, Takamitsu Ochi, Satoshi Seto, Haruki Matsuo, Hiroki Yamashita, Sho Morita, Masafumi Ukishima, K. Uejima, Yusuke Arayashiki, Suzuka Kajiwara, Akiyuki Murayama, Katsuya Nishiyama, Kikuko Sugimae, Shinji Mori, Yuta Saito, Takeshi Shundo, Aki Maeda, Hiroyuki Kamiya, Yasuhiro Uchiyama, Makoto Fujiwara, Fumiki Aiso, Katsuyuki Sekine, Norio Ohtani
2023	A*	`conf`	Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling. ICML Yuta Saito, Qingyang Ren, Thorsten Joachims
2023	J	`jnl`	Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling. CoRR Yuta Saito, Qingyang Ren, Thorsten Joachims
2023	A*	`conf`	Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. KDD Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito
2023	J	`jnl`	Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. CoRR Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito
2023	A*	`conf`	Policy-Adaptive Estimator Selection for Off-Policy Evaluation. AAAI Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno
2023	J	`jnl`	SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation. CoRR Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
2023	J	`jnl`	Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. CoRR Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
2022	J	`jnl`	A Note on Time Inconsistency and Endogenous Exits from a Currency Union. Games Yuta Saito
2022	J	`jnl`	A Real-World Implementation of Unbiased Lift-based Bidding System. CoRR Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata
2022	A	`conf`	CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile
2022	A*	`conf`	Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances. KDD Yuta Saito, Thorsten Joachims
2022	A	`conf`	Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. WSDM Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto
2022	J	`jnl`	Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. CoRR Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto
2022	A*	`conf`	Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking. KDD Yuta Saito, Thorsten Joachims
2022	J	`jnl`	Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking. CoRR Yuta Saito, Thorsten Joachims
2022	A*	`conf`	Off-Policy Evaluation for Large Action Spaces via Embeddings. ICML Yuta Saito, Thorsten Joachims
2022	J	`jnl`	Off-Policy Evaluation for Large Action Spaces via Embeddings. CoRR Yuta Saito, Thorsten Joachims
2022	J	`jnl`	Policy-Adaptive Estimator Selection for Off-Policy Evaluation. CoRR Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno
2022	A*	`conf`	Towards Resolving Propensity Contradiction in Offline Recommender Learning. IJCAI Yuta Saito, Masahiro Nomura
2021	—	`conf`	A Large-scale Dataset for Decision Making Algorithms. CSR-Sim4IR@SIGIR Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
2021	—	`conf`	A Real-World Implementation of Unbiased Lift-based Bidding System. IEEE BigData Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata
2021	J	`jnl`	Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation. CoRR Haruka Kiyohara, Kosuke Kawakami, Yuta Saito
2021	A	`conf`	Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances. RecSys Yuta Saito, Thorsten Joachims
2021	J	`jnl`	Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service. CoRR Yuta Saito, Takuma Udagawa, Kei Tateno
2021	A	`conf`	Efficient Hyperparameter Optimization under Multi-Source Covariate Shift. CIKM Masahiro Nomura, Yuta Saito
2021	A	`conf`	Evaluating the Robustness of Off-Policy Evaluation. RecSys Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno
2021	J	`jnl`	Evaluating the Robustness of Off-Policy Evaluation. CoRR Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno
2021	—	`conf`	Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation. NeurIPS Datasets and Benchmarks Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
2021	A*	`conf`	Optimal Off-Policy Evaluation from Multiple Logging Policies. ICML Nathan Kallus, Yuta Saito, Masatoshi Uehara
2020	J	`jnl`	8 × 2-Element 60-GHz-Band Circularly Polarized Post-Wall Waveguide Slot Array Antenna Loaded With Dipoles. IEEE Access Takashi Tomura, Yuta Saito, Jiro Hirokawa
2020	J	`jnl`	A Large-scale Open Dataset for Bandit Algorithms. CoRR Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
2020	A*	`conf`	Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback. SIGIR Yuta Saito
2020	A	`conf`	Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments. SDM Yuta Saito, Hayato Sakata, Kazuhide Nakata
2020	A*	`conf`	Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models. ICML Yuta Saito, Shota Yasui
2020	A	`conf`	Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions. RecSys Yuta Saito
2020	A*	`conf`	Dual Learning Algorithm for Delayed Conversions. SIGIR Yuta Saito, Gota Morishita, Shota Yasui
2020	J	`jnl`	Multi-Source Unsupervised Hyperparameter Optimization. CoRR Masahiro Nomura, Yuta Saito
2020	J	`jnl`	Optimal Off-Policy Evaluation from Multiple Logging Policies. CoRR Nathan Kallus, Yuta Saito, Masatoshi Uehara
2020	J	`jnl`	Unbiased Lift-based Bidding System. CoRR Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui
2020	Misc	`conf`	Unbiased Pairwise Learning from Biased Implicit Feedback. ICTIR Yuta Saito
2020	A	`conf`	Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback. WSDM Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata
2019	J	`jnl`	Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data. CoRR Yuta Saito, Shota Yasui
2019	A	`conf`	Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data. SDM Yuta Saito, Hayato Sakata, Kazuhide Nakata
2019	J	`jnl`	Dual Learning Algorithm for Delayed Feedback in Display Advertising. CoRR Yuta Saito, Gota Morishita, Shota Yasui
2019	J	`jnl`	Eliminating Bias in Recommender Systems via Pseudo-Labeling. CoRR Yuta Saito
2019	J	`jnl`	Relevance Matrix Factorization. CoRR Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata
2019	J	`jnl`	Unsupervised Domain Adaptation Meets Offline Recommender Learning. CoRR Yuta Saito
2018	—	`conf`	A Proposal and the Evaluation of a Hands-On Training System for Cyber Security. BWCCA Takamichi Saito, Satoshi Yashiro, Kazuhisa Tanabe, Yuta Saito
2018	—	`conf`	On Estimating Platforms of Web User with JavaScript Math Object. NBiS Takamichi Saito, Takafumi Noda, Ryohei Hosoya, Kazuhisa Tanabe, Yuta Saito
2018	B	`conf`	Recovering Texture of Denoised Image via its Statistical Analysis. ICIP Yuta Saito, Takamichi Miyata
2016	—	`conf`	An analysis of changes in attention based on miniature eye movements. ICCSE Hirotaka Maruyama, Yuta Saito, Mitsuho Yamada
2015	—	`conf`	Development of 4K driving simulator and Measurement of eye movement and physiological data during the driving. GCCE Gaku Iizuka, Yuta Saito, Mitsuho Yamada
2009	—	`conf`	Cooperative Communication Using a Virtual MIMO System with a Feedback Channel for Uplink Transmission in Cellular Radio. VTC Spring Yuta Saito, Yasutaka Ogawa, Takeo Ohgane, Toshihiko Nishimura