This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how convex optimization theory can be used to devise and analyze near-optimal statistical inferences.
Franck was awarded a “Jeune Chercheur” (Young Researcher) funding from the ANR (French National Research Agency) for his project STROLL: Harnessing Structure in Optimization for Large-scale Learning. This competitive grant (<20% of success) will notably fund the Ph.D. of Gilles.
Jérome presented the activities of the team with his trademarked jokes! The title/abstract of the talk is available at http://www-ljk.imag.fr/Seminars/1557909753900.html (For the non-French speakers, the abstract is a joke around the name of the team and the name of a French pop singer).