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Yu Inatsu (Ph.D.)
Assistant Professor
Department of Computer Science, Nagoya Institute of Technology
#402A, Bldg.2, Nagoya Institute of Technology,
Gokiso-cho, Showa-ku, Nagoya, Aichi, 466-8555, Japan
E-mail: inatsu.yu[at]nitech.ac.jp
Affiliated Academic Society :The Japan Statistical Society
Research:
1. Asymptotic theory for longitudinal data
2. Hypothesis testing and model selection for non-regular model
3. Active learning for level set estimation
4. Bayesian optimization under input uncertainty
Key Words:
Active learning; Asymptotic expansion; Asymptotic theory; Bayesian optimization; Generalized estimation equation; Information criterion; Input uncertainty; Level set estimation; Model selection; Simple ordering; Tree ordering.
Biography:
2012.4 -2014.3 Master course student at the Department of Mathematics, Graduate School of Science, Hiroshima University.
2014.4 -2017.3 Ph.D. student at the Department of Mathematics, Graduate School of Science, Hiroshima University.
2017.4 -2020.10 Postdoctoral Researcher, RIKEN Center for Advanced Intelligence Project, Data-Driven Biomedical Science Team.
2020.11- Assistant Professor, Department of Computer Science, Nagoya Institute of Technology.