High-Dimensional Statistical Modeling Unit

Makoto Yamada (Ph.D.)

Title

Unit Leader

Members

Unit Leader

Makoto Yamada
Postdoctoral Researcher

Tam Thanh Le
Senior Visiting Scientist

Kenji Fukumizu
Senior Visiting Scientist

Shigeyuki Matsui
Visiting Scientist

Taichiro Endo
Visiting Scientist

Masaaki Imaizumi
Visiting Scientist

Yuta Itoh
Visiting Scientist

Heewon Park
Technical Staff I

Dinesh Singh

Introduction

We are focusing on developing machine learning algorithm for large p and small n problems such as biomarker discovery and toxicogenomics prediction. In particular, we are interested in nonlinear feature selection algorithms for such high-dimensional data, and proposing simple yet efficient algorithms. Ultimately, we want to build a machine learning framework to automatically find an important information from data.

Main Research Field

Computer Science

Research Subjects

High-dimensional Feature Selection
Transfer Learning

Laboratory Website URL

https://riken-yamada.github.io/

RIKEN Website URL

http://www.riken.jp/en/research/labs/aip/generic_tech/highdim_stat_model/

posted on February 25, 2019 11:22Award

Unit Leader Yamada received Outstanding Senior Program Committee Award at WSDM2019

posted on September 7, 2018 17:55Information

Twelve papers are accepted at NeurIPS 2018