Hausdorff School Algorithmic Data Analysis

Dates: May 23 - 27, 2022

Venue: Lipschitz Lecture Hall, Mathematics Center, Endenicher Allee 60

Organizers: Anne Driemel, Melanie Schmidt

Confirmed lecturers:

  • Ken Clarkson (IBM Research, US)
  • Ioannis Emiris (Athena Research Center and U. Athens, Greece)
  • Robert Krauthgamer (Weizmann Institute, Israel)
  • David Mount (University of Maryland, US)
  • Jeff Phillips (University of Utah, US)
  • Ruth Urner (York University, Canada)

In this Hausdorff School we study algorithmic aspects of foundational methods to learn and generalise from data. While the nexus is algorithmic, this area of research is a rich and vibrant field within theoretical computer science which draws from deep connections to statistics, geometry, and combinatorics.

This Hausdorff School is intended for motivated graduate or postdoctoral students of mathematics or computer science. Leading experts discuss geometric and probabilistic approximation techniques and their connections to learning theory. Each invited speaker gives a mini-course spanning three lectures ranging from introductory material to advanced topics and current research.

Please send applications using the form below. Limited financial support for PhD students and postdocs may be available.

To be considered for participation, a CV and Letter of Intent (1 page) are required, as well as the name and contact information of a potential reference. (At this time, do not request a letter of recommendation.) Only one document can be uploaded, so please combine all documentation into one PDF.

Please note: Everyone interested in participating - disregarding whether there is need for financial support or not - has to register so that the participation may be administered. Everyone will be notified in due time about whether participation and partial financial support is possible.

Late applications may be considered, but to be given full consideration, please complete all information before the deadline.

The deadline for applications is March 27, 2022.
In case of questions, please contact the organizers at hsm-him(at)