BRÉGÈRE Margaux

Contractual Teacher-Researcher
[email protected]
https://margauxbregere.github.io
Laboratoire de Probabilités, Statistique et Modélisation LPSM (UMR 8001)

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities
Climate, Environment & The Universe
Mathematics, Computer Science & Robotics
Skills
Deep learning, Generative models, Interpretability, Machine learning, Statistical learning

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Awards

Prix « Coup de cœur du jury » Think Smartgrids 2022 / Finaliste AMIES 2021

Selected publications

  1. A Mirror Descent Approach for Mean Field Control Applied to Demande-Side Management, Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard and Nadia Oudjane, Submitted, 2023
  2. Online Hierarchical Forecasting for Power Consumption Data, Margaux Brégère and Malo Huard, International Journal of Forecasting, 2022
  3. Simulating tariff impact in electrical energy consumption profiles with conditional variational autoencoders, Margaux Brégère and Ricardo J. Bessa, IEEE Access, 2020
  4. Target Tracking for Contextual Bandits : Application to Demand Side Management, Margaux Brégère, Pierre Gaillard, Yannig Goude and Gilles Stoltz, International Conference on Machine Learning, pages 754–763, 2019
  5. A variable selection approach in the multivariate linear model : An application to LC-MS metabolomics data, Marie Perrot-Dockès, Céline Lévy-Leduc, Julien Chiquet, Laure Sansonnet, Margaux Brégère, Marie-Pierre Etienne, Stéphane Robin and Grégory Genta-Jouve, Statistical Applications in Genetics and Molecular Biology, vol. 17, n. 5, 2018

International collaborations

Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal

Industrial collaborations

Stochastic Bandit Algorithms for Demand Side Management, Doctorat Cifre, EDF R&D, Université Paris-Saclay, 2020