Workshop on learning theory in Paris, May 9-11, 2011

On behalf of the French Mathematical Society, we are happy to announce the following meeting in Paris:

Statistical Learning Theory – “Etats de la Recherche”

Institut Henri Poincaré, Paris
May 9-10-11, 2011

Scientific committee

Vladimir Koltchinskii (GeorgiaTech)
Gabor Lugosi (Universitat Pompeu Fabra)
Pascal Massart (Université Paris-Sud)
Alain Pajor (Université Paris-Est)


Stéphane Boucheron (Université Denis-Diderot)
Nicolas Vayatis (ENS Cachan)


A. Mini-courses by:

* Peter Bartlett (UC Berkeley) : Design and theoretical analysis of prediction methods
* Sanjoy DasGupta (UC San Diego) : Unsupervised and minimally-supervised learning.
* Shahar Mendelson (Technion and Australian National University) : Geometric methods in learning theory.

B. Talks by:

Francis Bach (INRIA & ENS Ulm)
Gilles Blanchard (Potsdam University)
Nicolas Broutin (INRIA)
Stéphan Clémençon (Telecom ParisTech)
Stéphane Mallat (Ecole Polytechnique)
Richard Nickl (Cambridge University)
Jean-Luc Starck (CEA)
Gilles Stoltz (ENS Ulm & HEC)
Alexandre Tsybakov (ENSAE ParisTech)


The aim of this event is to introduce learning theory to non-experts mathematicians. The participation of junior researchers and graduate students is particularly encouraged.


Registration is free but mandatory. A limited number of invitations will be delivered. If you are interested in this event, please fill the application form:

For more information

Please check the webpage: