Boot Camp - Machine Learning Theory (Semester Programme)

The boot camp kicks off our Machine Learning Theory semester programme. The ML Theory semester programme runs in Spring 2023.

When
14 Feb 2023 from 9:30 a.m. to 15 Feb 2023 4:30 p.m. CET (GMT+0100)
Where
CWI room L017
Web
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The boot camp kicks off our Machine Learning Theory semester programme.

The ML Theory semester programme runs in Spring 2023.

This two-day boot camp is intended for PhD students in ML theory. We will have one and half days of tutorials by researchers, one afternoon of lectures by international keynote speakers, a poster session, a joint dinner, and plenty of time for interaction.

Registration for the event is now open.

Schedule Boot Camp Research Semester Programme Machine Learning Theory
14 February 15 February
09:30 Johannes Schmidt-Hieber 09:00 Tim van Erven
10:00 Coffee break 10:00 Coffee break
11:00 Frans Oliehoek 10:30 Rui Castro
12:00 Poster session 11:30 Gabriela Cesa
13:00 Lunch 13:00 Lunch
14:00 Bob Williamson 14:00 Ronald de Wolf
15:00 Coffee break 15:00 Coffee break
15:10 Emilie Kaufmann 15:10 Matthias Staudigl
16:10 Reception -

Confirmed speakers

Tim van Erven
Associate professor at the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam in the Netherlands.

Explainability

Johannes Schmidt-Hieber
Professor of statistics at the University of Twente.

Statistical Theory for Deep Learning

Ronald de Wolf
Researcher at the Algorithms and Complexity group of CWI (Dutch Centre for Mathematics and Computer Science) and part-time full professor at the ILLC of the University of Amsterdam.

Quantum Learning Theory

Rui Castro
Associate professor of statistics, and a member of the Statistics, Probability and Operations Research (SPOR) cluster of the Mathematics Department at TU Eindhoven.

Statistical Testing in High Dimensions

Matthias Staudigl
Associate Professor for Multi-Agent Optimization at the Department of Advanced Computing Sciences (DACS) at Maastricht University.

Learning and Games

Gabriele Cesa
PhD student at the Amsterdam Machine Learning Lab (AMLab) with Max Welling and a Research Associate at Qualcomm AI Research with Taco Cohen and Arash Behboodi.

Equivariant/Geometric Deep Learning

Frans Oliehoek
Associate Professor at the Interactive Intelligence group at TU Delft.

Reinforcement Learning

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