The field of statistical learning theory has grown far beyond the traditional regression and classification problems. The purpose of this workshop is to bring together leading researchers who are drawing the new frontiers of this ever growing field.
Problems that will be discussed include: supervised and unsupervised learning, learning on graphs and networks, sequential learning, high-dimensional learning, etc.
Yuri Golubev, CMI, Universite de Provence and CNRS, France
Philippe Rigollet, ORFE, Princeton University, USA