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