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Margaux Brégère
Margaux Brégère
EDF R&D, LPSM Sorbonne Université
Verified email at edf.fr - Homepage
Title
Cited by
Cited by
Year
Simulating tariff impact in electrical energy consumption profiles with conditional variational autoencoders
M Brégère, RJ Bessa
IEEE Access 8, 131949-131966, 2020
182020
Online hierarchical forecasting for power consumption data
M Brégère, M Huard
International Journal of Forecasting 38 (1), 339-351, 2022
162022
Target tracking for contextual bandits: Application to demand side management
M Brégère, P Gaillard, Y Goude, G Stoltz
International Conference on Machine Learning, 754-763, 2019
132019
A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data
M Perrot-Dockès, C Lévy-Leduc, J Chiquet, L Sansonnet, M Brégère, ...
Statistical applications in genetics and molecular biology 17 (5), 2018
72018
A multivariate variable selection approach for analyzing LC-MS metabolomics data
M Perrot-Dockès, C Lévy-Leduc, J Chiquet, L Sansonnet, M Brégere, ...
arXiv preprint arXiv:1704.00076, 2017
62017
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent
B Marin Moreno, M Brégère, P Gaillard, N Oudjane
arXiv e-prints, arXiv: 2311.18346, 2023
12023
A Mirror Descent Approach for Mean Field Control applied to Demande-Side Management
BM Moreno, M Brégère, P Gaillard, N Oudjane
12023
Stochastic Bandit Algorithms for Demand Side Management
M Brégère
université Paris-Saclay, 2020
12020
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent
BM Moreno, M Brégère, P Gaillard, N Oudjane
International Conference on Artificial Intelligence and Statistics, 2206-2214, 2024
2024
A Bandit Approach with Evolutionary Operators for Model Selection
M Brégère, J Keisler
arXiv preprint arXiv:2402.05144, 2024
2024
Reimagining Demand-Side Management with Mean Field Learning
BM Moreno, M Brégère, P Gaillard, N Oudjane
arXiv preprint arXiv:2302.08190, 2023
2023
Reimagining Demand-Side Management with Mean Field Learning
B Marin Moreno, M Brégère, P Gaillard, N Oudjane
arXiv e-prints, arXiv: 2302.08190, 2023
2023
A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data
M Perrot-Dockès, C Lévy-Leduc, J Chiquet, L Sansonnet, M Brégère, ...
Statistical applications in genetics and molecular biology 17 (5), 2018
2018
Management: Application to Thermostatically Controlled Loads
BM Moreno, M Brégère, P Gaillard, N Oudjane
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