Yuta Saito

According to our database, Yuta Saito authored at least 47 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems.

Riku Togashi, Kenshi Abe, Yuta Saito

CoRR, 2024

POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition.

Yuta Saito, Jihan Yao, Thorsten Joachims

CoRR, 2024

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction.

Haruka Kiyohara, Masahiro Nomura, Yuta Saito

CoRR, 2024

2023

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation.

Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito

CoRR, 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

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Off-Policy Evaluation of Ranking Policies under Diverse User Behavior.

Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling.

Yuta Saito, Qingyang Ren, Thorsten Joachims

Proceedings of the International Conference on Machine Learning, 2023

Policy-Adaptive Estimator Selection for Off-Policy Evaluation.

Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Note on Time Inconsistency and Endogenous Exits from a Currency Union.

Yuta Saito

Games, 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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.

Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances.

Yuta Saito, Thorsten Joachims

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking.

Yuta Saito, Thorsten Joachims

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Resolving Propensity Contradiction in Offline Recommender Learning.

Yuta Saito, Masahiro Nomura

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Off-Policy Evaluation for Large Action Spaces via Embeddings.

Yuta Saito, Thorsten Joachims

Proceedings of the International Conference on Machine Learning, 2022

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

Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation.

Haruka Kiyohara, Kosuke Kawakami, Yuta Saito

CoRR, 2021

Evaluating the Robustness of Off-Policy Evaluation.

Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances.

Yuta Saito, Thorsten Joachims

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation.

Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Optimal Off-Policy Evaluation from Multiple Logging Policies.

Nathan Kallus, Yuta Saito, Masatoshi Uehara

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Hyperparameter Optimization under Multi-Source Covariate Shift.

Masahiro Nomura, Yuta Saito

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Real-World Implementation of Unbiased Lift-based Bidding System.

Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Large-scale Open Dataset for Bandit Algorithms.

Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita

CoRR, 2020

Unbiased Lift-based Bidding System.

Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui

CoRR, 2020

Multi-Source Unsupervised Hyperparameter Optimization.

Masahiro Nomura, Yuta Saito

CoRR, 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

Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback.

Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Dual Learning Algorithm for Delayed Conversions.

Yuta Saito, Gota Morishita, Shota Yasui

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback.

Yuta Saito

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments.

Yuta Saito, Hayato Sakata, Kazuhide Nakata

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions.

Yuta Saito

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Unbiased Pairwise Learning from Biased Implicit Feedback.

Yuta Saito

Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models.

Yuta Saito, Shota Yasui

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Unsupervised Domain Adaptation Meets Offline Recommender Learning.

Yuta Saito

CoRR, 2019

Dual Learning Algorithm for Delayed Feedback in Display Advertising.

Yuta Saito, Gota Morishita, Shota Yasui

CoRR, 2019

Eliminating Bias in Recommender Systems via Pseudo-Labeling.

Yuta Saito

CoRR, 2019

Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data.

Yuta Saito, Shota Yasui

CoRR, 2019

Relevance Matrix Factorization.

Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata

CoRR, 2019

Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data.

Yuta Saito, Hayato Sakata, Kazuhide Nakata

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018

On Estimating Platforms of Web User with JavaScript Math Object.

Takamichi Saito, Takafumi Noda, Ryohei Hosoya, Kazuhisa Tanabe, Yuta Saito

Proceedings of the Advances in Network-Based Information Systems, 2018

Recovering Texture of Denoised Image via its Statistical Analysis.

Yuta Saito, Takamichi Miyata

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Proposal and the Evaluation of a Hands-On Training System for Cyber Security.

Takamichi Saito, Satoshi Yashiro, Kazuhisa Tanabe, Yuta Saito

Proceedings of the Advances on Broadband and Wireless Computing, 2018

2016

An analysis of changes in attention based on miniature eye movements.

Hirotaka Maruyama, Yuta Saito, Mitsuho Yamada

Proceedings of the 11th International Conference on Computer Science & Education, 2016

2015

Development of 4K driving simulator and Measurement of eye movement and physiological data during the driving.

Gaku Iizuka, Yuta Saito, Mitsuho Yamada

Proceedings of the IEEE 4th Global Conference on Consumer Electronics, 2015

2009

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

Proceedings of the 69th IEEE Vehicular Technology Conference, 2009