Mahito Sugiyama

I am an associate professor at National Institute of Informatics. My research field is computer science, in particular, I am interested in machine learning, data mining, and knowledge discovery. My central research area is between discrete and continuous worlds.

News

2017.9.18
Our paper "graphkernels: R and Python packages for graph comparison" has been accepted to Bioinformatics Paper Library (R) Library (Python) NEW
2017.6.22
I give a talk about significant pattern mining on graphs at the 10th International Conference on Multiple Comparison Procedures (MCP 2017, 2017.6.20-23) Slide NEW
2017.5.13
Our paper "Tensor Balancing on Statistical Manifold" has been accepted to The 34th International Conference on Machine Learning (ICML 2017, 2017.8.6-11) arXiv PDF Slide Code (GitHub) NEW
2017.4.1
I became an associate professor at National Institute of Informatics
2017.3.30
A review (in Japanese) about significant pattern mining is published at Communications of the Operations Research Society of Japan. PDF
2016.10.24
I give a talk about partial order structure and information geometry at The 19th Information-Based Induction Sciences Workshop (IBIS 2016, 2016.11.16-19) Slide
2016.10.12
Our paper "Finding Combinations of Binary Variables with Guaranteed Accuracy" (First author: Yoshito Baba) has been accepted to NIPS 2016 Workshop Adaptive and Scalable Nonparametric Methods in Machine Learning (2016.12.10) PDF
2016.7.5
Our paper "Halting in Random Walk Kernels" (Mahito Sugiyama, Karsten Borgwardt) was selected as IEICE TC-IBISML Research Award Finalist

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