Sébastien Le Digabel
Member, GERAD
Professor, Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Canada
Education
Cahiers du GERAD
Publications
News
Title: Optimisation des hyperparamètres des réseaux de neurones profonds
Congradulation to Professors Sébastien Le Digabel, Charles Audet, Andrea Lodi and Dominique Orban! This grant totaling $781,500 is a partnership with Huawei Technologies and will focus on "Numerical Optimization and Machine Learning".
This article, published in the prestigious journal Nature, shows that in France, many COVID-19 patients have not consulted or alerted public health to their condition, leading to problematic under-detection of cases. This study is based on a mathematical model, the parameters of which were optimized using the NOMAD software developed at GERAD by the team of professors Charles Audet and Sébastien Le Digabel and the research associates Viviane Rochon Montplaisir and Christophe Tribes. This blackbox optimization software has been in continuous development for over twenty years and represents the state of the art in derivative-free optimization.
Events
Sébastien Le Digabel – Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Canada Stéphane Alarie – Hydro-Québec’s Research Institute, Canada
Miguel Diago Martinez – Polytechnique Montréal, Canada