Computation, Structure, and Learning

Our group, led by Assoc. Prof. Mahito Sugiyama, studies machine learning at National Institute of Informatics (NII) in Tokyo since 2017.

Machine learning is the discipline of studying intelligent computing systems, which nowadays plays a key role in artificial intelligence (AI). To reveal the nature of learning, we focus on the relationship between computational processes, discrete structures, and machine learning models.

We belong to the Department of Informatics, SOKENDAI (The Graduate University for Advanced Studies), which offers 3-year and 5-year Ph.D. courses. More information is available at the NII website.


  • Kazu Ghalamkari, Ryuichi Kanoh, and Yuhi Kawakami joined our lab as new Ph.D. students (Apr. 1, 2020).
  • Ian Andrew Walker joined our lab as an internship student (Jan. 14, 2020).
  • Assoc. Prof. Sugiyama will give a lecture about "Mechanisms of Machine Learning" at National Institute of Technology, Kurume College (Dec. 6, 2019).  [Slide] (in Japanese)
  • Assoc. Prof. Sugiyama will give a talk about "Learning with Incidence Algebra and Dually Flat Structure" at IBIS 2019 (Nov. 20, 2019).  [Slide]
  • Prasad Cheema joined our lab as an internship student (Nov. 18, 2019).
  • Masatsugu Yamada joined our lab as a new Ph.D. student (Oct. 7, 2019).
  • Assoc. Prof. Sugiyama has been awarded "Reviewer Award" of the ECMLPKDD 2019 Journal Track (Sep. 12, 2019).
  • Assoc. Prof. Sugiyama will organize the session "Machine Learning and Discrete Mathematics" at IBIS 2019 (Nov. 20-23, 2019). All slides are available at the IBIS 2019 website.
  • Assoc. Prof. Sugiyama has presented the work "Finding Statistically Significant Interactions between Continuous Features" at IJCAI 2019 (Aug. 10-16, 2019).  [Paper]  [Slide]  [Poster]
  • The lab webpage has been released (Jul. 4, 2019).


National Institute of Informatics,
2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan
Email: mahito (at)

© Mahito Sugiyama 2020