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.


Our paper "graphkernels: R and Python packages for graph comparison" has been accepted to Bioinformatics Paper Library (R) Library (Python) NEW
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
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
I became an associate professor at National Institute of Informatics
A review (in Japanese) about significant pattern mining is published at Communications of the Operations Research Society of Japan. PDF
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
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
Our paper "Halting in Random Walk Kernels" (Mahito Sugiyama, Karsten Borgwardt) was selected as IEICE TC-IBISML Research Award Finalist

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