From the 10 to the 28 of October 2022, we are hosting several leading speakers from the Machine Learning Community at the Institute for Mathematical Sciences at the National University of Singapore.

The aim of this workshop is to bring together researchers in theoretical and applied machine learning, to share their work and to explore collaborative opportunities.

Workshop themes

  • Deep Learning Theory
  • Machine Learning Applications in Physical/Biological Sciences
  • Bayesian Approaches in Machine Learning
  • Interpretability, Fairness and Privacy in Machine Learning
  • Reinforcement Learning Theory
  • Co-chairs

  • Peter Bartlett (Simons Institute for the Theory of Computing, UC Berkeley)
  • Soufiane Hayou (National University of Singapore)
  • Hui Ji (National University of Singapore)
  • Qianxiao Li (National University of Singapore)
  • Gianmarco Mengaldo (National University of Singapore)
  • Anqi Qiu (National University of Singapore)
  • Jonathan Scarlett (National University of Singapore)
  • Yong Sheng Soh (National University of Singapore)
  • Csaba Szepesvari (Simons Institute for the Theory of Computing, University of Alberta)
  • Vincent Y. F. Tan (National University of Singapore)
  • Alexandre Hoang Thiery (National University of Singapore)
  • Thomas, Xin Tong (National University of Singapore)
  • Wanjie Wang (National University of Singapore)
  • Angela Yao (National University of Singapore)


  • For more information, checkout the