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Yuta Saito
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2020 – today
- 2024
- [j3]Yuta Saito:
Expectations for the MPC chair and interest rate persistence. Math. Soc. Sci. 128: 25-30 (2024) - [c38]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito:
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. ICLR 2024 - [c37]Yuta Saito, Masahiro Nomura:
Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It. IJCAI 2024: 4860-4867 - [c36]Tatsuhiro Shimizu, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. RecSys 2024: 733-741 - [c35]Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang:
CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys 2024: 1206-1209 - [c34]Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. WWW 2024: 3150-3161 - [c33]Riku Togashi, Kenshi Abe, Yuta Saito:
Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. WWW 2024: 3307-3318 - [c32]Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas:
Long-term Off-Policy Evaluation and Learning. WWW 2024: 3432-3443 - [i28]Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. CoRR abs/2402.02171 (2024) - [i27]Yuta Saito, Jihan Yao, Thorsten Joachims:
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition. CoRR abs/2402.06151 (2024) - [i26]Riku Togashi, Kenshi Abe, Yuta Saito:
Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. CoRR abs/2402.14369 (2024) - [i25]Yuta Saito, Masahiro Nomura:
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It. CoRR abs/2404.15084 (2024) - [i24]Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas:
Long-term Off-Policy Evaluation and Learning. CoRR abs/2404.15691 (2024) - [i23]Tatsuhiro Shimizu, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. CoRR abs/2408.11202 (2024) - [i22]Shuhei Goda, Yudai Hayashi, Yuta Saito:
A Best-of-Both Approach to Improve Match Predictions and Reciprocal Recommendations for Job Search. CoRR abs/2409.10992 (2024) - 2023
- [c31]Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno:
Policy-Adaptive Estimator Selection for Off-Policy Evaluation. AAAI 2023: 10025-10033 - [c30]Yuta Saito, Qingyang Ren, Thorsten Joachims:
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling. ICML 2023: 29734-29759 - [c29]Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito:
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. KDD 2023: 1154-1163 - [c28]Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang:
CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys 2023: 1223-1226 - [c27]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:
Highly Scalable Metal Induced Lateral Crystallization (MILC) Techniques for Vertical Si Channel in Ultra-High (> 300 Layers) 3D Flash Memory. VLSI Technology and Circuits 2023: 1-2 - [i21]Yuta Saito, Qingyang Ren, Thorsten Joachims:
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling. CoRR abs/2305.08062 (2023) - [i20]Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito:
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. CoRR abs/2306.15098 (2023) - [i19]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito:
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation. CoRR abs/2311.18206 (2023) - [i18]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito:
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. CoRR abs/2311.18207 (2023) - 2022
- [j2]Yuta Saito:
A Note on Time Inconsistency and Endogenous Exits from a Currency Union. Games 13(2): 21 (2022) - [c26]Yuta Saito, Thorsten Joachims:
Off-Policy Evaluation for Large Action Spaces via Embeddings. ICML 2022: 19089-19122 - [c25]Yuta Saito, Masahiro Nomura:
Towards Resolving Propensity Contradiction in Offline Recommender Learning. IJCAI 2022: 2211-2217 - [c24]Yuta Saito, Thorsten Joachims:
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking. KDD 2022: 1514-1524 - [c23]Yuta Saito, Thorsten Joachims:
Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances. KDD 2022: 4824-4825 - [c22]Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile:
CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys 2022: 654-657 - [c21]Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto:
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. WSDM 2022: 487-497 - [i17]Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto:
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. CoRR abs/2202.01562 (2022) - [i16]Yuta Saito, Thorsten Joachims:
Off-Policy Evaluation for Large Action Spaces via Embeddings. CoRR abs/2202.06317 (2022) - [i15]Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata:
A Real-World Implementation of Unbiased Lift-based Bidding System. CoRR abs/2202.13868 (2022) - [i14]Yuta Saito, Thorsten Joachims:
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking. CoRR abs/2206.07247 (2022) - [i13]Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno:
Policy-Adaptive Estimator Selection for Off-Policy Evaluation. CoRR abs/2211.13904 (2022) - 2021
- [c20]Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata:
A Real-World Implementation of Unbiased Lift-based Bidding System. IEEE BigData 2021: 1877-1888 - [c19]Masahiro Nomura, Yuta Saito:
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift. CIKM 2021: 1376-1385 - [c18]Nathan Kallus, Yuta Saito, Masatoshi Uehara:
Optimal Off-Policy Evaluation from Multiple Logging Policies. ICML 2021: 5247-5256 - [c17]Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita:
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation. NeurIPS Datasets and Benchmarks 2021 - [c16]Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno:
Evaluating the Robustness of Off-Policy Evaluation. RecSys 2021: 114-123 - [c15]Yuta Saito, Thorsten Joachims:
Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances. RecSys 2021: 828-830 - [i12]Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno:
Evaluating the Robustness of Off-Policy Evaluation. CoRR abs/2108.13703 (2021) - [i11]Haruka Kiyohara, Kosuke Kawakami, Yuta Saito:
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation. CoRR abs/2109.08331 (2021) - [i10]Yuta Saito, Takuma Udagawa, Kei Tateno:
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service. CoRR abs/2109.08621 (2021) - 2020
- [j1]Takashi Tomura, Yuta Saito, Jiro Hirokawa:
8 × 2-Element 60-GHz-Band Circularly Polarized Post-Wall Waveguide Slot Array Antenna Loaded With Dipoles. IEEE Access 8: 85950-85957 (2020) - [c14]Yuta Saito, Shota Yasui:
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models. ICML 2020: 8398-8407 - [c13]Yuta Saito:
Unbiased Pairwise Learning from Biased Implicit Feedback. ICTIR 2020: 5-12 - [c12]Yuta Saito:
Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions. RecSys 2020: 92-100 - [c11]Yuta Saito, Hayato Sakata, Kazuhide Nakata:
Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments. SDM 2020: 406-414 - [c10]Yuta Saito:
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback. SIGIR 2020: 309-318 - [c9]Yuta Saito, Gota Morishita, Shota Yasui:
Dual Learning Algorithm for Delayed Conversions. SIGIR 2020: 1849-1852 - [c8]Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata:
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback. WSDM 2020: 501-509 - [i9]Masahiro Nomura, Yuta Saito:
Multi-Source Unsupervised Hyperparameter Optimization. CoRR abs/2006.10600 (2020) - [i8]Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui:
Unbiased Lift-based Bidding System. CoRR abs/2007.04002 (2020) - [i7]Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita:
A Large-scale Open Dataset for Bandit Algorithms. CoRR abs/2008.07146 (2020) - [i6]Nathan Kallus, Yuta Saito, Masatoshi Uehara:
Optimal Off-Policy Evaluation from Multiple Logging Policies. CoRR abs/2010.11002 (2020)
2010 – 2019
- 2019
- [c7]Yuta Saito, Hayato Sakata, Kazuhide Nakata:
Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data. SDM 2019: 468-476 - [i5]Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata:
Relevance Matrix Factorization. CoRR abs/1909.03601 (2019) - [i4]Yuta Saito, Shota Yasui:
Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data. CoRR abs/1909.05299 (2019) - [i3]Yuta Saito:
Eliminating Bias in Recommender Systems via Pseudo-Labeling. CoRR abs/1910.01444 (2019) - [i2]Yuta Saito, Gota Morishita, Shota Yasui:
Dual Learning Algorithm for Delayed Feedback in Display Advertising. CoRR abs/1910.01847 (2019) - [i1]Yuta Saito:
Unsupervised Domain Adaptation Meets Offline Recommender Learning. CoRR abs/1910.07295 (2019) - 2018
- [c6]Takamichi Saito, Satoshi Yashiro, Kazuhisa Tanabe, Yuta Saito:
A Proposal and the Evaluation of a Hands-On Training System for Cyber Security. BWCCA 2018: 339-349 - [c5]Yuta Saito, Takamichi Miyata:
Recovering Texture of Denoised Image via its Statistical Analysis. ICIP 2018: 1767-1771 - [c4]Takamichi Saito, Takafumi Noda, Ryohei Hosoya, Kazuhisa Tanabe, Yuta Saito:
On Estimating Platforms of Web User with JavaScript Math Object. NBiS 2018: 407-418 - 2016
- [c3]Hirotaka Maruyama, Yuta Saito, Mitsuho Yamada:
An analysis of changes in attention based on miniature eye movements. ICCSE 2016: 539-543 - 2015
- [c2]Gaku Iizuka, Yuta Saito, Mitsuho Yamada:
Development of 4K driving simulator and Measurement of eye movement and physiological data during the driving. GCCE 2015: 187-188
2000 – 2009
- 2009
- [c1]Yuta Saito, Yasutaka Ogawa, Takeo Ohgane, Toshihiko Nishimura:
Cooperative Communication Using a Virtual MIMO System with a Feedback Channel for Uplink Transmission in Cellular Radio. VTC Spring 2009
Coauthor Index
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