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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Senior research scientistGang Niu
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Postdoctoral researcherJiaqi Lyu
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Postdoctoral researcherShuo Chen
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Postdoctoral researcherGuillaume Braun
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Postdoctoral researcherZhen-yu Zhang
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Postdoctoral researcherOkan Koc
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Senior visiting scientistShinichi Nakajima
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Visiting scientistFutoshi Futami
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Visiting scientistFlorian Yger
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Visiting scientistTakashi Ishida
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Visiting scientistMiao Xu
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Visiting scientistTakayuki Osa
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Visiting scientistBo Han
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Visiting scientistFumiko Kawasaki
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Visiting scientistTakahiro Mimori
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Visiting scientistNan Lu
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Visiting scientistFeng Liu
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Visiting scientistJingfeng Zhang
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Visiting scientistLei Feng
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Visiting scientistTongliang Liu
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Visiting scientistYang Liu
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Visiting scientistSalah Ghamizi
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Visiting scientistTingting Zhao
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Junior research associateYuting Tang
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Junior research associateWei Wang
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Part-time worker IYifan Zhang
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)
- FY2022 Research Results(PDF 2.15MB)
- FY2021 Research Results(PDF 1.64MB)
- FY2019 Research Results(PDF 646KB) (Japanese version)
- FY2018 Research Results(PDF 1.41MB)
Related posts
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posted on January 24, 2022 08:52Information
posted on October 8, 2021 16:33Information
posted on August 30, 2021 08:00Information
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posted on May 21, 2021 15:49Information
posted on April 26, 2021 17:14Seminar
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posted on January 26, 2021 15:17Information
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posted on November 16, 2018 17:18Information
posted on November 7, 2018 11:50Award
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posted on April 27, 2018 09:17Award
posted on March 30, 2018 14:44Award
posted on March 22, 2018 10:08Award
