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 scientistGang Niu
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Postdoctoral researcherJingfeng Zhang
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Postdoctoral researcherJiaqi Lyu
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Postdoctoral researcherShuo Chen
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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 scientistTakahiro Mimori
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Visiting scientistFeng Liu
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Visiting scientistLei Feng
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Visiting scientistTongliang Liu
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Part-time worker IMasahiro Fujisawa
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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)
- FY2021 Research Results(PDF 1.64MB)
- FY2019 Research Results(PDF 646KB) (Japanese version)
- FY2018 Research Results(PDF 1.41MB)
Related posts
posted on March 17, 2023 09:55Seminar
posted on March 13, 2023 10:01Seminar
posted on March 8, 2023 13:41Information
posted on March 1, 2023 21:41Seminar
posted on February 27, 2023 17:28Seminar
posted on February 9, 2023 22:07Seminar
posted on February 9, 2023 22:08Seminar
posted on February 9, 2023 09:13Seminar
posted on January 26, 2023 13:45Seminar
posted on January 26, 2023 13:45Seminar
posted on January 26, 2023 13:46Seminar
posted on January 27, 2023 20:39Information
posted on January 24, 2023 22:45Seminar
posted on January 19, 2023 17:22Seminar
posted on January 11, 2023 10:47Seminar
posted on December 28, 2022 10:27Seminar
posted on December 22, 2022 18:58Seminar
posted on December 22, 2022 18:59Seminar
posted on December 13, 2022 23:52Seminar
posted on December 9, 2022 20:13Seminar
posted on November 29, 2022 10:17Seminar
posted on December 5, 2022 16:03Seminar
posted on November 17, 2022 16:39Seminar
posted on November 15, 2022 10:08Information
posted on November 11, 2022 13:18Seminar
posted on October 27, 2022 10:49Seminar
posted on October 25, 2022 14:52Seminar
posted on October 26, 2022 14:13Seminar
posted on October 26, 2022 14:57Seminar
posted on October 13, 2022 18:41Seminar
posted on October 3, 2022 09:05Seminar
posted on September 27, 2022 19:29Information
posted on September 3, 2022 09:27Seminar
posted on August 17, 2022 11:57Seminar
posted on August 2, 2022 13:41Seminar
posted on June 21, 2022 12:45Seminar
posted on June 13, 2022 10:08Seminar
posted on June 13, 2022 10:08Seminar
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posted on May 30, 2022 12:25Seminar
posted on May 23, 2022 10:51Information
posted on May 19, 2022 16:27Seminar
posted on May 4, 2022 10:40Seminar
posted on April 28, 2022 11:56Seminar
posted on April 25, 2022 15:23Information
posted on March 9, 2022 15:20Seminar
posted on March 9, 2022 15:22Seminar
posted on March 7, 2022 16:39Information
posted on February 23, 2022 18:20Seminar
posted on February 18, 2022 10:39Seminar
posted on February 3, 2022 15:41Seminar
posted on February 8, 2022 11:35Seminar
posted on February 8, 2022 11:41Seminar
posted on January 30, 2022 21:18Seminar
posted on January 26, 2022 19:35Information
posted on January 25, 2022 14:15Seminar
posted on January 24, 2022 08:52Information
posted on October 8, 2021 16:33Information
posted on August 30, 2021 08:00Information
posted on July 26, 2021 10:45Information
posted on May 21, 2021 15:49Information
posted on April 26, 2021 17:14Seminar
posted on April 14, 2021 17:03Information
posted on March 24, 2021 14:11Award
posted on March 9, 2021 16:01Information
posted on January 29, 2021 13:48Information
posted on January 26, 2021 15:17Information
posted on January 27, 2021 11:12Information
posted on November 2, 2020 15:09Seminar
posted on October 2, 2020 09:00Information
posted on June 22, 2020 16:28Award
posted on July 16, 2020 15:15Information
posted on May 28, 2020 15:00Information
posted on March 30, 2020 13:00Award
posted on March 13, 2020 11:25Information
posted on December 5, 2019 09:30Information
posted on November 15, 2019 14:00Information
posted on November 14, 2019 10:44Information
posted on September 11, 2019 12:00Information
posted on August 8, 2019 10:45Information
posted on June 27, 2019 14:33Information
posted on June 13, 2019 09:10Award
posted on May 16, 2019 13:52Information
posted on December 3, 2018 10:36Award
posted on November 26, 2018 14:01Pressrelease
posted on November 16, 2018 17:18Information
posted on November 7, 2018 11:50Award
posted on September 7, 2018 17:55Information
posted on April 27, 2018 09:17Award
posted on March 30, 2018 14:44Award
posted on March 22, 2018 10:08Award
