INATSU Yu

写真a

Affiliation Department

情報工学科　知能情報分野
工学専攻　知能情報プログラム
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

  • No-Regret Bayesian Optimization with Stochastic Observation Failures Reviewed

    Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Kota Matsui, Yu Inatsu

    The 28th International Conference on Artificial Intelligence and Statistics   2025

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

  • Distributionally Robust Active Learning for Gaussian Process Regression Reviewed

    Shion Takeno, Yoshito Okura, Yu Inatsu, Aoyama Tatsuya, Tomonari Tanaka, Akahane Satoshi, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi

    Proceedings of The 42nd International Conference on Machine Learning (ICML 2025)   2025

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

  • 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 41st International Conference on Machine Learning   235   47510 - 47534   2024

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

    Other Link： https://proceedings.mlr.press/v235/takeno24a.html

  • 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

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Books and Other Publications

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Misc

  • Akaike Information Criterion for ANOVA Model with a Simple Order Restriction

    Yu Inatsu

    2016

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    Authorship：Lead author   Language：English   Publishing type：Internal/External technical report, pre-print, etc.  

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Presentations

  • Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds International conference

    Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi

    Forty-first International Conference on Machine Learning (ICML2024)  2024.07 

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    Event date： 2024.07

    Language：English   Presentation type：Poster presentation  

    Venue：Vienna   Country：Austria  

  • 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  

  • ベイズ最適化アルゴリズムの基礎と効率的な実験工程の最適化への応用とそのポイント Invited

    稲津佑

    日本テクノセンター WEBセミナー  2025.01  株式会社日本テクノセンター

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    Event date： 2025.01

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

    Venue：オンライン   Country：Japan  

  • 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  2024.11  株式会社トリケップス

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    Event date： 2024.11

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

    Venue：オンライン   Country：Japan  

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Awards

  • 優秀プレゼンテーション賞ファイナリスト

    2024.11   電子情報通信学会 情報論的学習理論と機械学習研究会   乱択期待改善量によるベイズ最適化

    竹野思温, 稲津佑, 烏山昌幸, 竹内一郎

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    Award type：Award from Japanese society, conference, symposium, etc.  Country：Japan

  • IBIS2023優秀プレゼンテーション賞ファイナリスト

    2023.12   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

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    Award type：Award from Japanese society, conference, symposium, etc.  Country：Japan

  • 2022年度IBISML研究会賞ファイナリスト

    2023.10   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

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    Award type：Award from Japanese society, conference, symposium, etc.  Country：Japan

  • 2021年度IBISML研究会賞ファイナリスト

    2022.11   分布的ロバストな機会制約付き最適化問題に対する能動学習

    稲津　佑, 竹野思温, 烏山昌幸, 竹内一郎

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    Award type：Award from Japanese society, conference, symposium, etc.  Country：Japan

  • 2020年度IBISML研究会賞

    2021.11   多次元系列データの変化点検出のための選択的推論

    杉山諒太, 戸田博己, Vo Nguyen Le Duy, 稲津　佑, 竹内一郎

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    Award type：Award from Japanese society, conference, symposium, etc.  Country：Japan

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Scientific Research Funds Acquisition Results

  • 実験変数の一部が制御できない状況下での制御可能変数に対する統一的ベイズ最適化手法

    Grant number：23K16943  2023.04 - 2025.03

    日本学術振興会  科学研究費助成事業　若手研究 

    稲津　佑

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    Authorship：Principal investigator  Grant type：Competitive

  • 探索的分析によるデータ駆動型仮設の信頼性評価法の確立と生命科学分野における実証

    Grant number：20H00601  2020.04 - 2025.03

    日本学術振興会   科学研究費助成事業 基盤研究(A) 

    竹内 一郎, 花田 博幸, 寺田 吉壱, 稲津 佑, 本谷 秀堅, 津田 宏治

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    Authorship：Coinvestigator(s)  Grant type：Competitive

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Other External Funds

  • ブラックボックス関数のタイトな最適化手法の最大化問題以外への拡張

    Grant number：111F007  2024.10 - 2027.03

    科学技術振興機構  戦略的創造研究推進事業　ACT-X 

    稲津　佑

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    Authorship：Principal investigator  Grant type：Competitive

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Social Activities

  • 2024年度名古屋工業大学公開講座

    Role(s)： Lecturer

    名古屋工業大学 NITech AI研究センター  No.15 AI技術の基礎と応用： 機械学習・最適化で豊かな未来を実現する  2024.09

  • 2022年度 NITech AI研究センター業務「豊田自動織機データサイエンス道場」

    Role(s)： Lecturer

  • 2023年度 NITech AI研究センター業務「豊田自動織機データサイエンス道場」

    Role(s)： Lecturer

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Media Coverage

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