Scientific committee	Pascal Massart	(Université Paris-Sud)
	Shahar Mendelson	(The Australian National University & Technion, I.I.T)
	Alain Pajor	(Université Marne-la-Vallée)
	Alexandre Tsybakov	(Université Paris-VI)
Local organizers	Patricia Reynaud-Bouret	(Ecole Normale Supérieure)
	Gilles Stoltz	(Ecole Normale Supérieure)
	Lara Morise	(Ecole Normale Supérieure)

The goal of the meeting is to bring together - once again, after the conferences in Marne-La-Vallée, 2003, and Barcelona, 2004 - a diverse group of mathematicians and theoretical computer scientists working on all aspects of the theoretical analysis of machine learning techniques for prediction and other data analysis problems.

The talks will not necessarily be directly related to learning theory, but rather they will be devoted to interesting problems in mathematics that have had or are likely to have an impact on the development of the mathematical theory of learning. They will cover different areas of Analysis, Statistics, Probability, Game Theory, Information Theory, Optimization, and Computer Science.

This edition will take place at Ecole Normale Supérieure, Paris, a small College which is famous for its talented students in mathematics. We expect that this will be an excellent place to encourage exchanges between senior and young researchers (PhD students, MSc and PhD candidates, from Paris and from all over the world).