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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.