INATSU Yu

写真a

Affiliation Department

Department of Computer Science
Department of Computer Science
Center for Innovative Young Researchers

Title

Assistant Professor

External Link
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Degree

  • 博士 (理学) ( 2017.03   広島大学 )

  • 修士 (理学) ( 2014.03   広島大学 )

  • 学士 (理学) ( 2012.03   広島大学 )

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Papers

  • Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum Reviewed

    S. Iwazaki, T. Tanabe, M. Irie, S. Takeno, Y. Inatsu

    The 27th International Conference on Artificial Intelligence and Statistics, PMLR   238   1252 - 1260   2024.04

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    Language：English   Publishing type：Research paper (international conference proceedings)  

  • Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty Reviewed

    Y. Inatsu, S. Takeno, H. Hanada, K. Iwata, I. Takeuchi

    The 27th International Conference on Artificial Intelligence and Statistics, PMLR   238   4564 - 4572   2024.04

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

  • Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Reviewed

    S. Takeno, Y. Inatsu, M. Karasuyama, I. Takeuchi

    Proceedings of The 41th International Conference on Machine Learning   2024

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    Language：English   Publishing type：Research paper (international conference proceedings)  

  • Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Reviewed

    S. Takeno, Y. Inatsu, M. Karasuyama

    Proceedings of the 40th International Conference on Machine Learning   202   33490 - 33515   2023.07

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    Language：English   Publishing type：Research paper (international conference proceedings)  

    Other Link： https://proceedings.mlr.press/v202/takeno23a.html

  • Bayesian Optimization for Distributionally Robust Chance-constrained Problem Reviewed International journal

    Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi

    Thirty-ninth International Conference on Machine Learning   2022.07

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    Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)  

  • Active learning for distributionally robust level-set estimation Reviewed

    Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi

    Thirty-eighth International Conference on Machine Learning   2021.07

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    Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)  

    Other Link： http://proceedings.mlr.press/v139/inatsu21a.html

  • Mean-Variance Analysis in Bayesian Optimization under Uncertainty Reviewed International journal

    Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi

    The 24th International Conference on Artificial Intelligence and Statistics.   2021.04

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    Language：English   Publishing type：Research paper (international conference proceedings)  

  • Computing Valid P-Values for Image Segmentation by Selective Inference Reviewed International journal

    Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)   2020.06

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    Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/CVPR42600.2020.00957

    Other Link： https://ieeexplore.ieee.org/document/9157798

  • 乱択GP-UCBアルゴリズムのリグレット解析

    竹野 思温, 稲津 佑, 烏山 昌幸

    信学技報   122 ( 325 )   38 - 45   2022.12

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    Language：English   Publishing type：Research paper (conference, symposium, etc.)  

  • 分布ロバストなパレートフロントの同定問題に対する多目的ベイズ最適化

    稲津 佑, 竹内 一郎

    信学技報   122 ( 325 )   112 - 119   2022.12

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    Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Books and Other Publications

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Presentations

  • Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty International conference

    Y. Inatsu, S. Takeno, H. Hanada, K. Iwata, I. Takeuchi

    The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024)  2024.05 

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    Event date： 2024.05

    Language：English   Presentation type：Poster presentation  

    Venue：Valencia   Country：Spain  

  • Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum International conference

    S. Iwazaki, T. Tanabe, M. Irie, S. Takeno, Y. Inatsu

    The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024)  2024.05 

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    Event date： 2024.05

    Language：English   Presentation type：Poster presentation  

    Venue：Valencia   Country：Spain  

  • Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds International conference

    S. Takeno, Y. Inatsu, M. Karasuyama

    Fortieth International Conference on Machine Learning (ICML2023)  2023.07 

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    Event date： 2023.07

    Language：English   Presentation type：Poster presentation  

    Venue：Hawaii   Country：United States  

  • Bayesian Optimization for Distributionally Robust Chance-constrained Problem International conference

    Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi

    Thirty-ninth International Conference on Machine Learning 

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    Event date： 2022.07

    Language：English   Presentation type：Poster presentation  

    Venue：Baltimore Convention Center, Baltimore, Maryland USA  

  • Active learning for distributionally robust level-set estimation International conference

    Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi

    Thirty-eighth International Conference on Machine Learning 

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    Event date： 2021.07

    Language：English   Presentation type：Poster presentation  

  • Mean-Variance Analysis in Bayesian Optimization under Uncertainty International conference

    Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi

    The 24th International Conference on Artificial Intelligence and Statistics 

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    Event date： 2021.04

    Language：English   Presentation type：Poster presentation  

  • Computing Valid P-Values for Image Segmentation by Selective Inference International conference

    K. Tanizaki, N. Hashimoto, Y. Inatsu, H. Hontani and I. Takeuchi

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2020)  2020.06 

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    Event date： 2020.06

    Language：English   Presentation type：Poster presentation  

    Venue：virtual  

  • ベイズ最適化の基礎と応用～単目的最適化／多目的最適化／ロバスト最適化～ Invited

    稲津　佑

    情報機構セミナー  2024.06  株式会社情報機構

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    Event date： 2024.06

    Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

    Venue：オンライン  

  • 機械学習による適応的実験計画～ベイズ最適化の基礎と応用～ Invited

    稲津　佑

    トリケップス WEBセミナー  2024.05  株式会社トリケップス

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    Event date： 2024.05

    Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

    Venue：オンライン   Country：Japan  

  • 事後分布からのサンプルに基づくベイズ最適化

    竹野思温, 稲津佑, 烏山昌幸, 竹内一郎

    第26回情報論的学習理論ワークショップ  2023.10  電子情報通信学会 情報論的学習理論と機械学習研究会

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    Event date： 2023.10 - 2023.11

    Language：Japanese   Presentation type：Poster presentation  

    Venue：北九州国際会議場   Country：Japan  

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Media Coverage

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