Welcome to the High-Dimensional Statistical Modelling Team

We are focusing on developing machine learning algorithm for science including feature selection, topological data analysis, graph neural network, optimal transport and transfer learning.

We have two goals:

  • Machine learning for science: Develop machine learning methods that help scientists finding new scientific discoveries.
  • Machine learning: Develop fundamental machine learning algorithms.


23. January 2021

Tam's papers about tree Wasserstein have been accepted by AISTATS 2021! Congrats!

23. December 2020

Ryoma's Random feature paper has been accepted by SDM 2021! Congrats!

12. October 2020

Lunched New website!

26. September 2020

Two papers has been accepted to NeurIPS 2020.

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