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The LMS and ICMS would like to invite you to participate in their upcoming Symposium: Analytic and Geometric Approaches to Machine Learning.
Machine learning has been remarkably successful in it’s applications (e.g. classification/clustering, regression, data mining and prediction) but our theoretical understanding of many machine learning algorithms is still missing. This has led to an increasing appetite for the mathematical analysis of machine learning algorithms. Particularly exciting is the potential for methods from applied mathematics, probability theory, and statistics to contribute to machine learning theory.
The aim of the workshop is to bring together researchers that apply mathematical methodology to machine learning. We particularly want to emphasise how mathematical theory can inform applications and vice versa.

This virtual workshop is the first of two workshops on this topic. The second will be an in-person workshop to be held at the University of Bath, in December 2021. In this first workshop, invited speakers are encouraged to present open problems and explore interesting directions for potential research as part of their talk. The schedule allows participants time to initiate conversations and collaborations that can be developed at the winter workshop.