Sélim Chraibi started his PhD this week in the team. He presented us a part of his internship work in the group of Peter Richtarik at KAUST.
- 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.
Nadia is a professor at G-SCOP and former head of the French Operation Research Society. She is joining us for the semester.
Nice talk on accelerating second-order methods !
The title of his plenary summarizes one of our research axes : “Nonsmoothness can help: sensitivity analysis and acceleration of proximal algorithms”
Elnur is starting his PhD at KAUST with Peter Richtarik, he visited us between June 3rd and July 19th to work on distributed optimization.
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.
The Grenoble AI Institute MIAI funded the chair “Optimization & Learning” lead by Jérôme and Yurii Nesterov (CORE, Louvain-la-Neuve).
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).
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.