Laboratory of digital sciences of Nantes, Université de Nantes
Other titles and affiliations
Risk averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties
This paper addresses risk averse constrained optimization problems where the objective and constraint functions can only be computed by a blackbox subject to...BibTeX reference
PLSR1: A limited-memory partitioned quasi-Newton optimizer for partially-separable loss functions
Improving neural network optimizer convergence speed is a long-standing priority. Recently, there has been a focus on quasi-Newton optimization methods, whi...BibTeX reference
Historically, the training of deep artificial neural networks has relied on parallel computing to achieve practical effectiveness. However, with the increas...BibTeX reference
Here are three of the most cited articles from European Journal of Operational Research published since 2020, extracted from Scopus.
Machine learning for combinatorial optimization: A methodological tour d'horizon
Yoshua Bengio, Andrea Lodi, Antoine Prouvost, 290(2), 405-421, avril 2021.
A concise guide to existing and emerging vehicle routing problem variants
Thibaut Vidal, Gilbert Laporte, Piotr Matl, 286(2), 401-416, octobre 2020.
Performance indicators in multiobjective optimization
Charles Audet, Jean Bigeon, Dominique Cartier, Sébastien Le Digabel et Ludovic Salomon, 292(2), 397-422, juillet 2021.
May 19, 2022, 9h00
Title: Contributions to Multiobjective Blackbox Optimization
Come support two GERAD students participating in the Three-Minute Thesis (3MT) competition. The Polytechnique community is invited to vote for their favourite presentation until April 23, 2021!