Masashi Sugiyama
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
    Masashi SugiyamaPAGE
  • Research scientist
    Gang Niu
  • Research scientist
    Fumiko Kawasaki
  • Postdoctoral researcher
    Jingfeng Zhang
  • Postdoctoral researcher
    Jiaqi Lyu
  • Postdoctoral researcher
    Shuo Chen
  • Senior visiting scientist
    Shinichi Nakajima
  • Visiting scientist
    Yoshihiro Nagano
  • Visiting scientist
    Florian Yger
  • Visiting scientist
    Takashi Ishida
  • Visiting scientist
    Miao Xu
  • Visiting scientist
    Takayuki Osa
  • Visiting scientist
    Bo Han
  • Visiting scientist
    Yuko Kuroki
  • Visiting scientist
    Feng Liu
  • Visiting scientist
    Lei Feng
  • Visiting scientist
    Tongliang Liu
  • Part-time worker I
    Masahiro Fujisawa
  • Part-time worker I
    Yifan 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
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/generic_tech/imperfect_inf_learn/

Poster(s)

Related posts

posted on May 4, 2022 10:40Seminar
[The 14th TrustML Young Scientist Seminar]
posted on April 28, 2022 11:56Seminar
[The 13th TrustML Young Scientist Seminar]
posted on April 25, 2022 15:23Information
Four Papers have been accepted at IJCAI 2022
posted on April 22, 2022 17:47InformationAward
Outstanding Paper Honorable Mention at ICLR 2022 　
posted on April 8, 2022 16:13InformationAward
FY2022 MEXT Science and Technology Award
posted on April 4, 2022 16:13InformationAward
RIKEN Ohbu Award 2021
posted on April 8, 2022 14:02InformationAward
FY2021 RIKEN BAIHO Award
posted on March 9, 2022 15:20Seminar
[The 7th TrustML Young Scientist Seminar]
posted on March 9, 2022 15:22Seminar
[The 8th TrustML Young Scientist Seminar]
posted on March 7, 2022 16:39Information
Nine papers were accepted at CVPR 2022
posted on February 23, 2022 18:20Seminar
[The 6th TrustML Young Scientist Seminar] Talk by Kfir Y. Levy (Technion)
posted on February 18, 2022 10:39Seminar
Imperfect Information Learning Team Seminar (Talk by Yu Shao, Nanjing University of Science and Technology).
posted on February 18, 2022 19:05InformationAward
FY2021 38th Inoue Research Award for Young Scientists
posted on February 3, 2022 15:41Seminar
[The 3rd TrustML Young Scientist Seminar]
posted on February 8, 2022 11:35Seminar
[The 5th TrustML Young Scientist Seminar]
posted on February 8, 2022 11:41Seminar
[The 4th TrustML Young Scientist Seminar]
posted on January 30, 2022 21:18Seminar
[The 2nd TrustML Young Scientist Seminar]
posted on January 26, 2022 19:35Information
12 papers have been accepted at ICLR 2022
posted on January 25, 2022 14:15Seminar
[The 1st TrustML Young Scientist Seminar]
posted on January 24, 2022 08:52Information
7 papers have been accepted at AISTATS 2022
posted on December 21, 2021 21:28InformationPressrelease
In silico-labeled ghost cytometry
posted on October 8, 2021 16:33Information
17 papers were accepted at NeurIPS 2021
posted on August 30, 2021 08:00Information
Seven papers have been accepted at EMNLP2021
posted on July 26, 2021 10:45Information
【In the media】Confidence Scores Make Instance-dependent Label-noise Learning Possible（Nikkan Kogyo Shimbun, July 22, 2021)
posted on May 21, 2021 15:49Information
26 papers have been accepted at ICML 2021
posted on April 26, 2021 17:14Seminar
Imperfect Information Learning Team Seminar (Talk by Jiaqi Lv, Southeast University)
posted on April 14, 2021 17:03Information
ABCpy, a machine learning library, has used γ-ABC proposed in a research paper mainly by Masahiro Fujisawa, a team member of the Imperfect Information Learning Team (PI: Masashi Sugiyama)
posted on March 24, 2021 14:11Award
Three researchers received RIKEN Ohbu Award 2020
posted on March 9, 2021 16:01Information
Papers were accepted at CVPR 2021
posted on January 29, 2021 13:48Information
17 papers were accepted at AISTATS 2021
posted on January 26, 2021 15:17Information
Nine papers were accepted at ICLR 2021
posted on January 27, 2021 11:12Information
Five papers were accepted at AAAI-21
posted on November 2, 2020 15:09Seminar
[7th AIP Open Seminar] Talks by Imperfect Information Learning Team
posted on October 2, 2020 09:00Information
21 papers were accepted at NeurIPS 2020
posted on June 22, 2020 16:28Award
Five researchers received RIKEN Ohbu Award 2019
posted on July 16, 2020 15:15Information
Eighteen papers were accepted at ICML 2020
posted on May 28, 2020 15:00Information
Papers were accepted at IJCAI-PRICAI 2020
posted on March 30, 2020 13:00Award
Visiting Scientist Bo Han received the 2019 RIKEN BAIHO Award
posted on March 13, 2020 11:25Information
Ten papers were accepted at AISTATS 2020
posted on December 5, 2019 09:30Information
Fourteen papers were accepted at AAAI-20
posted on November 15, 2019 14:00Information
Director Sugiyama, Team Leader Khan and Unit Leader Maehara have took part in The Fields CQAM Focus Program as co-organizers
posted on November 14, 2019 10:44Information
Our three researchers gave presentations at CAS-RIKEN Young Scientists Seminar
posted on September 11, 2019 12:00Information
21 papers were accepted at NeurIPS 2019
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