BigDataFr recommends: [1-day Workshop] Stochastic Algorithms for Big Data
When: June 17, 2016 – 9am – 5pm (from 9:00 to 17:00)
Location: Université Pierre et Marie Curie (UPMC)
Organizers: Stéphane Gaiffas (Ecole Polytechnique) & Gilles Pagès (UPMC-LMPA)
Registration: free but compulsory : click now
Stochastic algorithms for optimization have recently gain a lot of attention with the development of big data sets, because of their effective performance. It can be understood theoretically for strongly convex optimization problems, but they are also very efficient in many non-convex situations (e.g. in deep-learning). We will try to investigate the reasons of this success from a mathematical point of view.
About the Workshop
This one-day workshop, part of the Thematic Cycle on Monte-Carlo Methods Techniques, supported by the Labex Louis Bachelier will take place at Amphithéâtre Herpin in the Esclangon building of Université Pierre et Marie Curie.
Welcome of participants will start at 9am. Registration is free but compulsory.
Patrick Gallinari (UPMC-LIP6), Vianey Perchet (UPD-LPMA), Gersende Fort (CNRS-Télécom ParisTech), Benedikt Wilbertz (Trendiction, Luxembourg), Mark Schmidt (Univ. of British Columbia), Jeremy Harroch (QuantMetry).
Registation: free but mandatory
Registration deadline: June 10, 2016 @ MonteCarloParis@gmail.com (subject: Registration to the Workshop on Big Data)