Papers - INATSU Yu

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  • 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

  • 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

    IEICE Technical Report   120 ( 395 )   63 - 70   2021.02

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

  • パラメトリック計画法を用いた凸クラスタリングのための選択的推論

    大森夢拓, 稲津 佑, 竹内一郎

    IEICE Technical Report   120 ( 395 )   9 - 15   2021.02

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

  • Active learning for level set estimation under input uncertainty and its extensions Reviewed International journal

    Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi

    Neural Computation   32 ( 12 )   2020.12

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1162/neco_a_01332

    Other Link: https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01332

  • Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty Reviewed International journal

    Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi

    IEEE Access   8   203982 - 203993   2020.11

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

    DOI: 10.1109/ACCESS.2020.3036863

    Other Link: https://ieeexplore.ieee.org/document/9252941

  • Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation Reviewed International journal

    Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi

    Neural Computation   32 ( 10 )   1998 - 2031   2020.10

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1162/neco_a_01310

    Other Link: https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01310

  • Active learning for enumerating local minima based on Gaussian process derivatives Reviewed International journal

    Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi

    Neural Computation   32 ( 10 )   2032 - 2068   2020.10

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1162/neco_a_01307

    Other Link: https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01307

  • A Cp type criterion for model selection in the GEE method when both scale and correlation parameters are unknown Reviewed International journal

    Tomoharu Sato, Yu Inatsu

    Hiroshima Mathematical Journal   50 ( 1 )   85 - 115   2020.03

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

    DOI: doi:10.32917/hmj/1583805651

    Other Link: https://projecteuclid.org/euclid.hmj/1583805651

  • Model Selection Criterion Based on the Prediction Mean Squared Error in Generalized Estimating Equations Reviewed International journal

    Yu Inatsu, Shinpei Imori

    Hiroshima Mathematical Journal   48 ( 3 )   307 - 334   2018.12

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.32917/hmj/1544238030

    Other Link: https://projecteuclid.org/euclid.hmj/1544238030

  • ガウス過程の導関数に基づく極小点の同定のための能動学習

    稲津 佑, 椙田 大輔, 豊浦 和明, 竹内 一郎

    電子情報通信学会技術研究報告 情報論的学習理論と機械学習   2018

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

  • An unbiased Cp type criterion for ANOVA model with a tree order restriction Reviewed International journal

    Yu Inatsu

    Hiroshima Mathematical Journal   47 ( 2 )   181 - 216   2017.07

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.32917/hmj/1499392825

    Other Link: https://projecteuclid.org/euclid.hmj/1499392825

  • Selective inferenceに基づくactive learningの選択バイアス補正

    稲津 佑, 竹内 一郎

    電子情報通信学会技術研究報告 情報論的学習理論と機械学習   2017

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

  • Asymptotic expansions of the null distribution of the LR test statistic for random-effects covariance structure in a parallel profile model Reviewed International journal

    Yu Inatsu, Hirofumi Wakaki

    JOURNAL OF THE JAPAN STATISTICAL SOCIETY   46 ( 1 )   51 - 79   2016.09

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.14490/jjss.46.51

    Other Link: https://www.jstage.jst.go.jp/article/jjss/46/1/46_51/_article/

  • 順序制約つきANOVAモデルのAIC規準

    稲津 佑

    京都大学数理解析研究所講究録, No.1999   2016

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)  

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