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

2018.11.3
Our paper "Learning Graph Representation via Formal Concept Analysis" (First author: Yuka Yoneda) has been accepted to NIPS 2018 Workshop on Relational Representation Learning (R2L 2018, 2018.12.8) NEW PDF
2018.11.1
Our paper "Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions" (First author: Simon Luo) has been accepted to The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019, 2019.1.27-2.1) NEW
2018.10.1
I became a JST PRESTO Researcher (concurrent) NEW
2018.9.5
Our paper "Legendre Decomposition for Tensors" has been accepted to The 32nd Annual Conference on Neural Information Processing Systems (NIPS 2018, 2018.12.3-8) as spotlight presentation NEW arXiv Paper Poster Slide Code (GitHub)
2018.6.27
I have been awarded JSAI Incentive Award
2017.9.18
Our paper "graphkernels: R and Python packages for graph comparison" has been accepted to Bioinformatics Paper Library (R) Library (Python)
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
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)
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

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