
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
-
Research scientistGang Niu
-
Postdoctoral researcherShuo Chen
-
Postdoctoral researcherVoot Tangkaratt
-
Junior research associateMasahiro Fujisawa
-
Junior research associateTakeshi Teshima
-
Senior visiting scientistShinichi Nakajima
-
Visiting scientistYoshihiro Nagano
-
Visiting scientistTongliang Liu
-
Visiting scientistShuhei Yamamoto
-
Visiting scientistRyohei Kasai
-
Visiting scientistHisashi Yoshida
-
Visiting scientistDaichi Noborio
-
Visiting scientistBo Han
-
Visiting scientistTakayuki Osa
-
Visiting scientistMiao Xu
-
Visiting scientistFlorian Baptiste Yger
-
Visiting scientistJunya Honda
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
Related posts
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