UMEZU Yuta

写真a

Affiliation Department etc.

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

Title

Assistant Professor(Moving Out or Retirement)

Graduating School

  • 2005.04
    -
    2011.03

    Kyushu University   Faculty of Science   Graduated

Graduate School

  • 2013.04
    -
    2016.03

    Kyushu University    Doctor's Course  Completed

  • 2011.04
    -
    2013.03

    Kyushu University    Master's Course  Completed

External Career

  • 2017.01
    -
    Now

      Assistant Professor  

Field of expertise (Grants-in-aid for Scientific Research classification)

  • Statistical science

 

Papers

  • Selective inference via marginal screening for high dimensional classification

    Yuta Umezu, Ichiro Takeuchi

    Japanese Journal of Statistics and Data Science     2019.12  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis

    Takuto Sakuma, Kazuya Nishi, Kaoru Kishimoto, Kazuya Nakagawa, Masayuki Karasuyama, Yuta Umezu, Shinsuke Kajioka, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Matasaburo Fukutomi, Hisashi Shidara, Hiroto Ogawa, Ichiro Takeuchi

    Advanced Robotics   33   134 - 152   2019.01  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Variable selection in multivariate linear models for functional data via sparse regularization

    Hidetoshi Matsui, Yuta Umezu

    Japanese Journal of Statistics and Data Science     2019  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Post Selection Inference with Kernels

    Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi

    Procedings of the 21th International Conference on Artificial Intelligence and Statistics (AISTATS2018)     2018.04  [Refereed]

    Research paper (international conference proceedings)   Multiple Authorship

  • Can AI predict animal movements? Filling gaps in animal trajectories using Inverse Reinforcement Learning

    Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi, Yuta Umezu, Ichiro Takeuchi, Sakiko Matsumoto, Ken Yoda

    Ecosphere     2018  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • AIC for the non-concave penalized likelihood method

    Yuta Umezu, Yusuke Shimizu, Hiroki Masuda, Yoshiyuki Ninomiya

    Annals of the Institute of Statistical Mathematics     2018  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Selective Inference for Sparse High-Order Interaction Models

    Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi

    Proceedings of the 34th International Conference on Machine Learning (ICML2017)     2017.08  [Refereed]

    Research paper (international conference proceedings)   Multiple Authorship

  • Ridge-type regularization method for questionnaire data analysis

    Yuta Umezu, Hidetoshi Matsuoka, Hiroshi Ikeda, Yoshiyuki Ninomiya

    Pacific Journl of Mathematics for Industry     2016.08  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Defect rate evaluation via simple active learning

    Yuta Umezu, Hidetoshi Matsuoka, Hiroshi Ikeda, Yoshiyuki Ninomiya

    Pacific Journal of Mathematics for Industry     2015.11  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

Presentations

  • Selective Inference for Change Point Detection in Multi-dimensional Sequences

    Yuta Umezu, Ichiro Takeuchi  [Invited]

    Chile-Japan Academic Forum 2018  2018.09  -  2018.09 

  • Post Selection Inference with Kernels

    Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi

    The 21st International Conference on Artificial Intelligence and Statistics  2018.04  -  2018.04 

  • Selective Inference for Sparse Hig-Order Interaction Models

    Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi

    The 34th International Conference on Machine Learning  (Sydney, Australia)  2017.08  -  2017.08 

  • Selective Inference for Predictive Pattern Mining

    Ichiro Takeuchi, Shinya Suzumura, Yuta Umezu, Koji Tsuda

    10th International Conference on Multiple Comparison Procedures  (Riverside, California, USA)  2017.06  -  2017.06 

  • Post Selection Inference with Kernels

    Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi

    10th International Conference on Multiple Comparison Procedures  (Riverside, California, USA)  2017.06  -  2017.06