Masashi Sugiyama (Ph.D.)
Title
Team Leader
History
| 2001 | Assistant Professor, Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan. |
| 2003 | Associate Professor, Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan. |
| 2014 | Professor, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan. (Present) |
| 2016 | Director, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. (Present) |
Members
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Research scientistTakahiro Mimori
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Research scientistVidal Alcazar
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Research scientistFumiko Kawasaki
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Research scientistGang Niu
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Technical scientistYuka Mori
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Postdoctoral researcherJingfeng Zhang
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Postdoctoral researcherShuo Chen
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Postdoctoral researcherVoot Tangkaratt
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Junior research associateYifan Zhang
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Junior research associateTakeshi Teshima
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Technical staff IMasashi Ugawa
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Senior visiting scientistShinichi Nakajima
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Visiting scientistYuko Kuroki
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Visiting scientistTakashi Ishida
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Visiting scientistYoshihiro Nagano
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Visiting scientistTongliang Liu
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Visiting scientistShuhei Yamamoto
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Visiting scientistRyohei Kasai
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Visiting scientistHisashi Yoshida
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Visiting scientistDaichi Noborio
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Visiting scientistBo Han
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Visiting scientistTakayuki Osa
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Visiting scientistMiao Xu
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Visiting scientistFlorian Yger
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Student traineeFeng Liu
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Part-time worker IMasahiro Fujisawa
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Part-time worker INontawat Charoenphakdee
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Part-time worker IHan Bao
Introduction
Recently, machine learning technology with big data has been actively investigated and its effectiveness has been demonstrated. However, depending on application domains, it is difficult or even it is not possible to collect a large amount of data. In the Imperfect Information Learning Team, for various machine learning tasks including supervised learning, unsupervised learning, and reinforcement learning, we develop novel algorithms that allow accurate learning from limited information. We also elucidate their theoretical properties and apply them to various real-world applications ranging from fundamental science to business.
Main Research Field
Computer Science
Research Field
Engineering / Mathematics
Research Subjects
Development of machine learning algorithms from imperfect information
Theoretical analysis of machine learning algorithms
Real-world application of machine learning algorithms
Theoretical analysis of machine learning algorithms
Real-world application of machine learning algorithms
RIKEN Website URL
Poster(s)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results
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