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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) - [c34]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 - [c33]Haruka Kiyohara
, Masahiro Nomura
, Yuta Saito
:
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. WWW 2024: 3150-3161 - [c32]Riku Togashi
, Kenshi Abe
, Yuta Saito
:
Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. WWW 2024: 3307-3318 - [c31]Yuta Saito
, Himan Abdollahpouri
, Jesse Anderton
, Ben Carterette
, Mounia Lalmas
:
Long-term Off-Policy Evaluation and Learning. WWW 2024: 3432-3443 - [i26]Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. CoRR abs/2402.02171 (2024) - [i25]Yuta Saito, Jihan Yao, Thorsten Joachims:
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition. CoRR abs/2402.06151 (2024) - [i24]Riku Togashi, Kenshi Abe, Yuta Saito:
Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. CoRR abs/2402.14369 (2024) - [i23]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) - [i22]Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas:
Long-term Off-Policy Evaluation and Learning. CoRR abs/2404.15691 (2024) - 2023
- [c30]Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno:
Policy-Adaptive Estimator Selection for Off-Policy Evaluation. AAAI 2023: 10025-10033 - [c29]Yuta Saito, Qingyang Ren, Thorsten Joachims:
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling. ICML 2023: 29734-29759 - [c28]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 - [c27]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 - [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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