Margaux Brégère

According to our database, Margaux Brégère authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

(Online) Convex Optimization for Demand-Side Management: Application to Thermostatically Controlled Loads.

Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane

J. Optim. Theory Appl., June, 2025

Online Episodic Convex Reinforcement Learning.

Bianca Marin Moreno, Khaled Eldowa, Pierre Gaillard, Margaux Brégère, Nadia Oudjane

CoRR, May, 2025

AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting.

Keshav Das, Julie Keisler, Margaux Brégère, Amaury Durand

CoRR, March, 2025

2024

Automated Spatio-Temporal Weather Modeling for Load Forecasting.

Julie Keisler, Margaux Brégère

CoRR, 2024

A Bandit Approach with Evolutionary Operators for Model Selection.

Margaux Brégère, Julie Keisler

CoRR, 2024

MetaCURL: Non-stationary Concave Utility Reinforcement Learning.

Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Automated Deep Learning for load forecasting.

Julie Keisler, Sandra Claudel, Gilles Cabriel, Margaux Brégère

Proceedings of the International Conference on Automated Machine Learning, 2024

Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent.

Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Reimagining Demand-Side Management with Mean Field Learning.

Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane

CoRR, 2023

2020

Online Hierarchical Forecasting for Power Consumption Data.

Margaux Brégère, Malo Huard

CoRR, 2020

Simulating Tariff Impact in Electrical Energy Consumption Profiles With Conditional Variational Autoencoders.

Margaux Brégère, Ricardo J. Bessa

IEEE Access, 2020

2019

Target Tracking for Contextual Bandits: Application to Demand Side Management.

Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz

Proceedings of the 36th International Conference on Machine Learning, 2019