Masashi Sugiyama (Ph.D.)
Title
Team Leader
History
2001Assistant Professor, Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan.
2003Associate Professor, Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan.
2014Professor, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan. (Present)
2016Director, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. (Present)

Members

  • Team Leader
    Masashi Sugiyama
    WEBSITE
  • Research Scientist
    Gang Niu
  • Postdoctoral Researcher
    Voot Tangkaratt
  • Postdoctoral Researcher
    Miao Xu
  • Senior Visiting Scientist
    Shinichi Nakajima
  • Visiting Scientist
    Florian Yger
  • Visiting Scientist
    Shuhei Yamamoto
  • Visiting Scientist
    Hisashi Yoshida
  • Visiting Scientist
    Masahiro Yukawa
  • Visiting Scientist
    Ryohei Kasai
  • Visiting Scientist
    Takayuki Osa

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
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/generic_tech/imperfect_inf_learn/

[Poster] FY2018 Research Results

Related posts
posted on August 8, 2019 10:45Information
Papers have been accepted at IJCAI-19
posted on June 27, 2019 14:33Information
Director Sugiyama gave an invited lecture at AI Summer School in Turkey
posted on June 13, 2019 09:10Award
Research Scientist Gang Niu received the 2018 RIKEN BAIHO Award
posted on May 16, 2019 13:52Information
Fourteen papers have been accepted at ICML 2019
posted on December 3, 2018 10:36Award
Mr. Chen Si-An, National Taiwan University received master's thesis prize, Taiwanese Association for Artificial Intelligence
posted on November 26, 2018 14:01Pressrelease
Smarter AI: machine learning without negative data
posted on November 16, 2018 17:18Information
Thirteen papers have been accepted at AAAI-19
posted on November 7, 2018 11:50Award
Our members, Futoshi Futami, Takashi Ishida and others received IEICE TC-IBISML Research Award
posted on September 7, 2018 17:55Information
Twelve papers are accepted at NeurIPS 2018
posted on April 27, 2018 09:17Award
Han Bao of the University of Tokyo graduate student received AIP Network Lab Award
posted on March 30, 2018 14:44Award
Center Director Masashi Sugiyama received FY 2017 Fellow award from Institute of Electronics, Information and Communication Engineers
posted on March 22, 2018 10:08Award
Received RIKEN Research Incentive Award 2017: Research Scientist Wataru Kumagai, Visiting Scientist Gang Niu