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

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 )

 

Papers

  • Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation Reviewed International journal

    T. Tsukurimichi, Y. Inatsu, V. N. L. Duy and I. Takeuchi

    Annals of the Institute of Statistical Mathematics   2022.08

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s10463-022-00846-2

    Other Link: https://link.springer.com/article/10.1007/s10463-022-00846-2

  • 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)  

  • More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis

    IEICE Technical Report   121 ( 321 )   54 - 60   2022.01

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

  • Bayesian Optimization for Cascade-type Multi-stage Processes Reviewed International journal

    Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi

    Neural Computation   2022

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    Language:English   Publishing type:Research paper (scientific journal)  

  • Selective Inference for Multi-dimensional Multiple Change-Points

    IEICE Technical Report   121 ( 304 )   25 - 30   2021.12

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

  • Bayesian Quadrature Optimization for Probability Threshold Robustness Measure Reviewed International journal

    Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi

    Neural Computation   2021.10

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  • 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

  • Active learning for distributionally robust chance-constrained optimization

    121 ( 80 )   47 - 54   2021.06

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

    Other Link: https://www.ieice.org/ken/paper/20210628ACen/

  • 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)  

  • Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design Reviewed International coauthorship International journal

    Keiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, Masae Konno, Daichi Yamada, Kentaro Mannen, Takashi Nagata, Yu Inatsu, Hiromu Yawo, Kei Yura, Oded Béjà, Hideki Kandori, Ichiro Takeuchi

    Communications Biology   2021.03

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1038/s42003-021-01878-9

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Presentations

  • 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  

  • ベイズ最適化を用いた実験工程の効率化 Invited

    稲津 佑

    技術情報協会セミナー「DX導入による実験の効率化と実験自動化・自律化への応用」 

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    Event date: 2022.06

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン開催  

  • 分布的ロバストな確率尺度に対する最大化問題のためのベイズ最適化手法 Invited

    稲津 佑

    科研費シンポジウム 「ベイズ統計の理論と応用」 

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    Event date: 2022.03

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:オンライン開催  

  • 分布的ロバストな確率尺度最大化問題に対するベイズ最適化手法 Invited

    稲津 佑

    第6回 統計・機械学習若手シンポジウム 

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    Event date: 2022.02

    Language:Japanese   Presentation type:Oral presentation (general)  

  • K-meansクラスタリングに対するより強力な選択的推論とその単一細胞分析への応用

    佐藤瑞起, 大森夢拓, 稲津 佑, 竹内一郎

    第44回IBISML研究会 

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    Event date: 2022.01

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 多次元系列データにおける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

    電子情報通信学会 パターン認識・メディア理解研究会(PRMU研究会) 

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    Event date: 2021.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン開催  

  • 機械学習を用いた実験工程の効率化 Invited

    稲津佑

    技術情報協会セミナー「AIを活用した実験工程の効率化と実験の自動化・自律化の方法」 

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    Event date: 2021.11

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:オンライン開催  

  • カスケードタイプの多ステージプロセスに対するベイズ最適化

    草川隼也, 竹野思温, 稲津佑, 沓掛健太郎, 岩崎省吾, 中野高志, 烏山昌幸, 宇治原徹, 竹内一郎

    第24回情報論的学習理論ワークショップ (IBIS2021) 

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    Event date: 2021.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン開催  

  • 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  

  • 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

    第43回IBISML研究会 

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    Event date: 2021.06

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン開催  

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