Machine Learning Summer School 2003
MLSS'03 was
held in the Max Plank Institut fuer Biologische Kybernetik, Tuebingen, Germany
between the 4th and the 16th of August, 2003.
Topics
All courses are in English.
Basic Courses:
Advanced Courses:
- Monte Carlo Simulation methods (C. Andrieu, University of
Bristol) - 4 hours
- Bioinformatics (P. Baldi,
UC Irvine) - 4 hours
- Stochastic Learning (L. Bottou, NEC Research, Princeton)
- 4 hours
- Concentration Inequalities with Machine Learning Applications (S. Boucheron, LRI Orsay) - 4 hours
- Some Mathematical Tools for Machine Learning (C. Burges, Microsoft
Research, Redmond) - 4 hours
- Universal Modeling: Introduction to modern MDL (P.
Grunwald, CWI Amsterdam) - 4 hours
- Information Retrieval and Language Technology (T. Joachims, Cornell University) - 4 hours
- Foundations of Learning (S. Smale, UC Berkeley) - 4 hours
- Bayesian Inference: Principles and Practice (M. Tipping, Microsoft
Research, Cambridge) - 4 hours
Evening talks
Practical sessions:
Fancy Graphics
Download the Poster (PDF),
Organizers
This is the first Summer School jointly organized by O. Bousquet, B. Schoelkopf
and U. von Luxburg at the Max-Planck-Institute fuer Biologische Kybernetik
(MPIK) in Tuebingen, M. Davy and F. Desobry at the Institut de Recherche en
Communications et Cybernetique in Nantes (IRCCyN) and the Australian National
University (ANU).
Last modified April, 22 2004