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 (VTC Spring, 2009)

Development of 4K driving simulator and Measurement of eye movement and physiological data during the driving. - Gaku Iizuka; Yuta Saito; Mitsuho Yamada (GCCE, 2015)

An analysis of changes in attention based on miniature eye movements. - Hirotaka Maruyama; Yuta Saito; Mitsuho Yamada (ICCSE, 2016)

A Proposal and the Evaluation of a Hands-On Training System for Cyber Security. - Takamichi Saito; Satoshi Yashiro; Kazuhisa Tanabe; Yuta Saito (BWCCA, 2018)

Recovering Texture of Denoised Image via its Statistical Analysis. - Yuta Saito; Takamichi Miyata (ICIP, 2018)

On Estimating Platforms of Web User with JavaScript Math Object. - Takamichi Saito; Takafumi Noda; Ryohei Hosoya; Kazuhisa Tanabe; Yuta Saito (NBiS, 2018)

Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data. - Yuta Saito; Hayato Sakata; Kazuhide Nakata (SDM, 2019)

Relevance Matrix Factorization. - Yuta Saito; Suguru Yaginuma; Yuta Nishino; Hayato Sakata; Kazuhide Nakata (CoRR, 2019)

Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data. - Yuta Saito; Shota Yasui (CoRR, 2019)

Eliminating Bias in Recommender Systems via Pseudo-Labeling. - Yuta Saito (CoRR, 2019)

Dual Learning Algorithm for Delayed Feedback in Display Advertising. - Yuta Saito; Gota Morishita; Shota Yasui (CoRR, 2019)

Unsupervised Domain Adaptation Meets Offline Recommender Learning. - Yuta Saito (CoRR, 2019)

Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models. - Yuta Saito; Shota Yasui (ICML, 2020)

Unbiased Pairwise Learning from Biased Implicit Feedback. - Yuta Saito (ICTIR, 2020)

Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions. - Yuta Saito (RecSys, 2020)

Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments. - Yuta Saito; Hayato Sakata; Kazuhide Nakata (SDM, 2020)

Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback. - Yuta Saito (SIGIR, 2020)

Dual Learning Algorithm for Delayed Conversions. - Yuta Saito; Gota Morishita; Shota Yasui (SIGIR, 2020)

Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback. - Yuta Saito; Suguru Yaginuma; Yuta Nishino; Hayato Sakata; Kazuhide Nakata (WSDM, 2020)

8 × 2-Element 60-GHz-Band Circularly Polarized Post-Wall Waveguide Slot Array Antenna Loaded With Dipoles. - Takashi Tomura; Yuta Saito; Jiro Hirokawa (IEEE Access, 2020)

Multi-Source Unsupervised Hyperparameter Optimization. - Masahiro Nomura; Yuta Saito (CoRR, 2020)

Unbiased Lift-based Bidding System. - Daisuke Moriwaki; Yuta Hayakawa; Isshu Munemasa; Yuta Saito; Akira Matsui (CoRR, 2020)

A Large-scale Open Dataset for Bandit Algorithms. - Yuta Saito; Shunsuke Aihara; Megumi Matsutani; Yusuke Narita (CoRR, 2020)

A Real-World Implementation of Unbiased Lift-based Bidding System. - Daisuke Moriwaki; Yuta Hayakawa; Akira Matsui; Yuta Saito; Isshu Munemasa; Masashi Shibata (IEEE BigData, 2021)

Efficient Hyperparameter Optimization under Multi-Source Covariate Shift. - Masahiro Nomura; Yuta Saito (CIKM, 2021)

Optimal Off-Policy Evaluation from Multiple Logging Policies. - Nathan Kallus; Yuta Saito; Masatoshi Uehara (ICML, 2021)

Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation. - Yuta Saito; Shunsuke Aihara; Megumi Matsutani; Yusuke Narita (NeurIPS Datasets and Benchmarks, 2021)

Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances. - Yuta Saito; Thorsten Joachims (RecSys, 2021)

Evaluating the Robustness of Off-Policy Evaluation. - Yuta Saito; Takuma Udagawa; Haruka Kiyohara; Kazuki Mogi; Yusuke Narita; Kei Tateno (RecSys, 2021)

Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation. - Haruka Kiyohara; Kosuke Kawakami; Yuta Saito (CoRR, 2021)

Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service. - Yuta Saito; Takuma Udagawa; Kei Tateno (CoRR, 2021)

Off-Policy Evaluation for Large Action Spaces via Embeddings. - Yuta Saito; Thorsten Joachims (ICML, 2022)

Towards Resolving Propensity Contradiction in Offline Recommender Learning. - Yuta Saito; Masahiro Nomura (IJCAI, 2022)

Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking. - Yuta Saito; Thorsten Joachims (KDD, 2022)

Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances. - Yuta Saito; Thorsten Joachims (KDD, 2022)

CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. - Olivier Jeunen; Thorsten Joachims; Harrie Oosterhuis; Yuta Saito; Flavian Vasile (RecSys, 2022)

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 (WSDM, 2022)

A Note on Time Inconsistency and Endogenous Exits from a Currency Union. - Yuta Saito (Games, 2022)

Policy-Adaptive Estimator Selection for Off-Policy Evaluation. - Takuma Udagawa; Haruka Kiyohara; Yusuke Narita; Yuta Saito; Kei Tateno (AAAI, 2023)

Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling. - Yuta Saito; Qingyang Ren; Thorsten Joachims (ICML, 2023)

Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. - Haruka Kiyohara; Masatoshi Uehara; Yusuke Narita; Nobuyuki Shimizu; Yasuo Yamamoto; Yuta Saito (KDD, 2023)

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 002 (RecSys, 2023)

Highly Scalable Metal Induced Lateral Crystallization (MILC) Techniques for Vertical Si Channel in Ultra-High (> 300 Layers) 3D Flash Memory. - Noritaka Ishihara; Yusuke Shimada; Takamitsu Ochi; Satoshi Seto; Haruki Matsuo; Hiroki Yamashita; Sho Morita; Masafumi Ukishima; K. Uejima; Yusuke Arayashiki; Suzuka Kajiwara; Akiyuki Murayama; et al. (VLSI Technology and Circuits, 2023)

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation. - Haruka Kiyohara; Ren Kishimoto; Kosuke Kawakami; Ken Kobayashi; Kazuhide Nakata; Yuta Saito (CoRR, 2023)

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. - Haruka Kiyohara; Ren Kishimoto; Kosuke Kawakami; Ken Kobayashi; Kazuhide Nakata; Yuta Saito (ICLR, 2024)

Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It. - Yuta Saito; Masahiro Nomura (IJCAI, 2024)

Bounds for Message Authentication with Partially Leaked Secret Key Using Conditional Rényi Entropy. - Yuta Saito; Shun Watanabe (ISITA, 2024)

CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. - Olivier Jeunen; Harrie Oosterhuis; Yuta Saito; Flavian Vasile; Yixin Wang 002 (RecSys, 2024)

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. - Tatsuhiro Shimizu; Koichi Tanaka; Ren Kishimoto; Haruka Kiyohara; Masahiro Nomura; Yuta Saito (RecSys, 2024)

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. - Haruka Kiyohara; Masahiro Nomura; Yuta Saito (WWW, 2024)

Long-term Off-Policy Evaluation and Learning. - Yuta Saito; Himan Abdollahpouri; Jesse Anderton; Ben Carterette; Mounia Lalmas (WWW, 2024)

Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. - Riku Togashi; Kenshi Abe; Yuta Saito (WWW, 2024)

POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition. - Yuta Saito; Jihan Yao; Thorsten Joachims (CoRR, 2024)

A Best-of-Both Approach to Improve Match Predictions and Reciprocal Recommendations for Job Search. - Shuhei Goda; Yudai Hayashi; Yuta Saito (CoRR, 2024)

Expectations for the MPC chair and interest rate persistence. - Yuta Saito (Math. Soc. Sci., 2024)

Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits. - Yuta Natsubori; Masataka Ushiku; Yuta Saito (ICLR, 2025)

POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition. - Yuta Saito; Jihan Yao; Thorsten Joachims (ICLR, 2025)

A General Framework for Off-Policy Learning with Partially-Observed Reward. - Rikiya Takehi; Masahiro Asami; Kosuke Kawakami; Yuta Saito (ICLR, 2025)

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 (KDD (1), 2025)

MultiScale Contextual Bandits for Long Term Objectives. - Richa Rastogi; Yuta Saito; Thorsten Joachims (CoRR, 2025)

Multiple Function Merging for Code Size Reduction. - Yuta Saito; Kazunori Sakamoto; Hironori Washizaki; Yoshiaki Fukazawa (ACM Trans. Archit. Code Optim., 2025)

Prompt Optimization with Logged Bandit Data. - Haruka Kiyohara; Daniel Yiming Cao; Yuta Saito; Thorsten Joachims (CoRR, 2025)

A Method for Assisting Novices Creating Class Diagrams Based on the Instructor's Class Layout. - Yuta Saito; Takehiro Kokubu; Takafumi Tanaka; Atsuo Hazeyama; Hiroaki Hashiura (CoRR, 2025)

Off-Policy Evaluation and Learning for Matching Markets. - Yudai Hayashi; Shuhei Goda; Yuta Saito (CoRR, 2025)