Machine Learning and Its Applications Part 1

(15 Mar 2021 - 02 Apr 2021)

Organizing Committee

  • Peter Bartlett  (Simons Institute for the Theory of Computing, UC Berkeley)
  • Hui Ji  (National University of Singapore)
  • Anqi Qiu  (National University of Singapore)

Contact Information

General Enquiries: ims(AT)nus.edu.sg
Scientific Aspects Enquiries: qianxiao(AT)nus.edu.sg

Overview

This workshop focuses on theory and applications of machine learning. On the theoretical side we will discuss mathematical issues on deep learning and reinforcement learning, ranging from approximation, optimization and generalization problems. Another topic is learning with limited resources. On the application side, we will focus on the application of machine learning for imaging problems from computer vision and medical imaging.

Activities

  • Online scientific talks will be arranged.

Registration

Click here to register

List of Participants

Peter Bartlett Simons Institute for the Theory of Computing, UC Berkeley, USA
Jiashi Feng National University of Singapore, Singapore
Hui Ji National University of Singapore, Singapore
Qianxiao Li National University of Singapore, Singapore
Anqi Qiu National University of Singapore, Singapore
Jonathan Scarlett National University of Singapore, Singapore
Csaba Szepesvari Simons Institute for the Theory of Computing, University of Alberta, USA
Vincent Y. F. Tan National University of Singapore, Singapore
Alexandre Hoang Thiery National University of Singapore, Singapore
Thomas, Xin Tong National University of Singapore, Singapore
Wanjie Wang National University of Singapore, Singapore
Haizhao Yang National University of Singapore, Singapore
Angela Yao National University of Singapore, Singapore
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