Margaux BRÉGÈRE

LPSM
...
  • Contractual Teacher-Researcher
  • LPSM - Laboratoire de Probabilités, Statistique et Modélisation
  • margaux.bregere@lpsm.paris
  • Open link
    https://margauxbregere.github.io
  • Communities
    Climate, Environment & The Universe
    Mathematics, Computer Science & Robotics
  • Expertise
    Deep learning
    Generative models
    Interpretability
    Machine learning
    Statistical learning

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