3 New Ph.D. in the Team!

  • Gilles Bareilles (from ENSTA and MVA), who was an intern with Franck. His work deals with adaptive optimization methods for nonsmooth problems.
  • Yu-Guan Hsieh (from ENS and MVA), who was also an intern with Franck, Jérôme, and Panayotis. His work deals with variational analysis for machine learning.
  • Sélim Chraibi (from ENSIMAG), who was an intern with Peter Richtarik at KAUST. His work deals with practical large-scale and federated learning methods.

Welcome guys!

ANR “Jeune Chercheur” funding awarded to Franck

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.

New interns in the team.

Yu-Guan Hsieh and Gilles Bareilles just joined our team for an internship. They are both graduating from the Master MVA in Paris; Yu-Guan is originally from ENS Paris and Gilles is originally from ENSTA Paris.