Dates: May 23 - 27, 2022
Venue: Lipschitz Lecture Hall, Mathematics Center, Endenicher Allee 60, Bonn, Germany
Organizers: Anne Driemel, Melanie Schmidt
Confirmed lecturers:
Ken Clarkson (IBM Research, US)
Ioannis Emiris (University of Athens, Greece)
Robert Krauthgamer (Weizmann Institute, Israel)
David Mount (University of Maryland, US)
Jeff Phillips (University of Utah, US)
Ruth Urner (York Uniersity, 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.
Further information can be found on the website:
https://www.hcm.uni-bonn.de/events/eventpages/hausdorff-school/hausdorff-schools-2022/algorithmicdata2022/
Limited financial support is available. The deadline for applications is 27th
March 2022. Applicants will be notified in April. Late applications may be
considered until the summer school is fully booked.
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