Speaker

Qianxiao Li is an assistant professor in the Department of Mathematics, and a principal investigator in the Institute for Functional Intelligent Materials, National University of Singapore. He graduated with a BA in mathematics from the University of Cambridge and a PhD in applied mathematics from Princeton University. His research interests include the interplay of machine learning and dynamical systems, control theory, stochastic optimisation algorithms and data-driven methods for science and engineering.

Abstract

In this talk we discuss some mathematical aspects of machine learning, and how they can be traced back to very old problems in mathematics, such as representing complicated functions or probability distributions as the combination of simpler components. At the same time, we emphasise how modern developments in artificial intelligence lead to new mathematical questions, many of which are yet to be solved.

Registration

Register here by 1 Mar 2024.