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.


  • 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).
  • 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)