Publications of Olivier Bousquet

Talks

Some Recent Advances in Machine Learning. IWFHR, La Baule, October 2006
Machine Learning: Challenges and Applications. Journée de rentrée de l'école doctorle, Marseille, October 2006
Challenges and Applications of Machine Learning to Manufacturing Problems. 6th MATHIAS Seminar, Cannes, October 2006
Machine Learning: Some theoretical and practical problems. Journées MAS, Lille, September 2006
Manifold Learning. Curves and Surfaces 2006, June 2006, Avignon
Introduction to Learning Theory. Lecture at the Machine Learning Summer School, Canberra, Australia, February 2006
How to choose a prior? ENST, Paris, France, November 2005
Clustering and Prediction, some thoughts (2) Empirical Inference Symposium, Tuebingen, Germany, August 2005
Clustering and Prediction, some thoughts Invited talk at the Statistics and Optimization of Clustering Workshop, London, U.K., July 2005
SVM, noyaux, régularisation Invited talk at the French Learning Conference (CAP - in french), Nice, France, June 2005
Error bounds in Learning Theory, the role of averaging and structure Invited talk at the Meeting of the French Statistical Society, Pau, France, June 2005
Advanced Statistical Learning Theory Lecture at the Machine Learning Summer School, Berder, France, September 2004.
Introduction to Category Theory Max Planck Institute Internal Seminar, January 2004.
Statistical Learning Theory Lecture at the Machine Learning Summer School, Tuebingen, Germany, August 2003.