Atsutomo Yara (屋良 淳朝) 🀄️
Atsutomo Yara (屋良 淳朝)

PhD student

The University of Osaka

About Me

Atsutomo Yara is a PhD student in Machine Learning at the Graduate School of Engineering Science, The University of Osaka. His superviser is Yoshikazu Terada. His research interests include the theoretical foundations of machine learning and mathematical statistics. He has been selected for the JST BOOST program (Japan Science and Technology Agency).

Interests
  • Theory of Machine Learning
  • Mathematical Statistics
  • Deep Learning
  • Statistical Learning Theory
Education

  • MEng Machine Learning

    The University of Osaka

  • BEng Computer Science

    The University of Osaka

Recent Publications
Atsutomo Yara, Yoshikazu Terada (2026). Nonparametric logistic regression with deep learning. Bernoulli.
Cite DOI URL
Yoshikazu Terada, Atsutomo Yara (2026). A Theory of Nonparametric Covariance Function Estimation for Discretely Observed Data. arXiv.
Cite DOI URL

Experience

  1. BOOST (Broadening Opportunities for Outstanding young researchers and doctoral students in STrategic areas)

    JST (Japan Science and Technology Agency)

  2. Teaching Assistant

    Doshisha University

Education

  1. MEng Machine Learning

    The University of Osaka

  2. BEng Computer Science

    The University of Osaka
Awards
Presentation award, competition session in the annual meeting of the Japanese Federation of Statistical Science Associations in 2024
∙ September 2024
ISI Tokyo Memorial Award
∙ September 2025