Mini-Workshop: Mathematical Foundations of Robust and Generalizable Learning

  • Johannes Lederer

    Ruhr-Universität Bochum, Germany
  • Po-Ling Loh

    University of Cambridge, UK
  • Yuting Wei

    University of Pennsylvania, Philadelphia, USA
  • Fan Yang

    ETH Zürich, Switzerland

Abstract

Machine learning has become an highly active field of research, but its mathematical underpinnings are still hardly understood. This workshop identified key challenges, and it discussed potential solutions. Bringing together a diverse group of researchers, the workshop established different views on the topic based on notions from statistics, probability theory, and optimization.

Cite this article

Johannes Lederer, Po-Ling Loh, Yuting Wei, Fan Yang, Mini-Workshop: Mathematical Foundations of Robust and Generalizable Learning. Oberwolfach Rep. 19 (2022), no. 4, pp. 2659–2686

DOI 10.4171/OWR/2022/46