Machine Learning and Its Applications

(10 Oct 2022–28 Oct 2022)

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)
  • Csaba Szepesvari  (Simons Institute for the Theory of Computing, University of Alberta)

Contact Information

General Enquiries: ims-enquiry(AT)
Scientific Aspects Enquiries: qianxiao(AT)




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



  • Tutorials (10–14 Oct)
  • Scientific Sessions (Weeks of 17 Oct and 24 Oct): We will start with more application based talks in the week of 17 Oct and transitioning towards more theory focused sessions in the last week (24 Oct), but there will be a mix of both to potentially accommodate participants who can only come in a specific time window.

24 October 2022, Deepavali is a Public Holiday.

Tutorials10–14 October 2022View
Scientific Sessions17–28 October 2022View


IMS Auditorium

Tutorial Speakers

  • Mohammad Emtiyaz Khan (RIKEN, Japan)
  • Jiequn Han (Flatiron Institute, USA), via Zoom
  • Nan Jiang (University of Illinois Urbana-Champaign, USA), via Zoom
  • Nihar Shah (Carnegie Mellon University, USA), via Zoom
  • Andrey Ustyuzhanin (National University of Singapore, Singapore)
  • Greg Yang (Microsoft Research, USA)


  • Jeffrey Adie (NVIDIA, Singapore)
  • Francis Bach (INRIA/ENS, France) *
  • Prasanna Balaprakash (Argonne National Laboratory, USA)
  • Mikhail Belkin (University of California, San Diego, USA) *
  • Andrea Bertolini (Sant’Anna School of Advanced Studies – Pisa, Italy)
  • Steven Brunton (University of Washington, USA) *
  • Erik Cambria (Nanyang Technological University, Singapore)
  • Li Cheng (National University of Singapore, Singapore)
  • Michael Choi (National University of Singapore, Singapore)
  • Anca Dragan (University of California, Berkeley, USA) *
  • Jesper Dramsch (ECMWF, Germany)
  • Weinan E (Peking University, China) *
  • Jianqing Fan (Princeton University, USA) *
  • Yang Feng (New York University, USA)
  • Cornelia Fermüller (University of Maryland, USA) *
  • Sebastian Goldt (SISSA, Italy)
  • Boris Hanin (Princeton University, USA)
  • Hamed Hassani (University of Pennsylvania, USA) *
  • Hui Ji (National University of Singapore, Singapore)
  • Nikita Kazeev (National University of Singapore, Singapore)
  • Mohammad Emtiyaz Khan (RIKEN, Japan)
  • Gitta Kutyniok (Ludwig-Maximilians-Universität München, Germany) *
  • Pang Wei Koh (Stanford University, USA)
  • Qianxiao Li (National University of Singapore, Singapore)
  • Min Lin (SEA, Singapore)
  • Lydia Liu (University of California, Berkeley, USA) *
  • Seth Neel (Harvard Business School, USA) *
  • Juan-Pablo Ortega (Nanyang Technological University, Singapore)
  • Guillaume Sartoretti (National University of Singapore, Singapore)
  • Ohad Shamir (Weizmann Institute of Science, Israel) *
  • Harold Soh (National University of Singapore, Singapore)
  • Jascha Sohl-Dickstein (Google, USA) *
  • Linda Tan (National University of Singapore, Singapore)
  • Vincent Tan (National University of Singapore, Singapore)
  • Yan Shuo Tan (National University of Singapore, Singapore)
  • Andrey Ustyuzhanin (National University of Singapore, Singapore)
  • Rene Vidal (Johns Hopkins University, USA) *
  • Yu-Ping Wang (Tulane University, USA)
  • Greg Yang (Microsoft Research, USA)
  • Haizhao Yang (University of Maryland, USA)
  • Angela Yao (National University of Singapore, Singapore)
  • Joey Zhou Tianyi (A*STAR, Singapore)
  • Pan Zhou (SEA, Singapore)
  • Enrique Zuazua (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)


Speakers with * beside their name will give their talk via Zoom.


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