Aymeric Dieuleveut's Team
@CMAP, Ecole polytechnique. Palaiseau, France.
Aymeric Dieuleveut is a Professor of Statistics and Optimization at Ecole polytechnique, in France.
Our group is working on fields as diverse as:
- first order optimization,
- federated learning,
- stochastic approximation,
- missing values,
- uncertainty quantification.
On this website, you can find information about our research, our team and our organization.
Feel free to get in touch with Aymeric if you would like to interact in one way or another (presentation, collaboration, position, etc.)!
News
| Jun 24, 2024 |  Margaux Zaffran has successfully defended her PhD: Post-hoc predictive uncertainty quantification: methods with applications to electricity price forecasting |
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| Apr 5, 2024 | Baptiste Goujaud has successfully defended his PhD: Constructive approaches to worst-case complexity analyses of gradient methods for convex optimization |
| Oct 10, 2023 |  Margaux was named one of the For Women in Science 2023 Fondation L’Oréal-UNESCO French Young Talents |
| Oct 1, 2023 |  Aymeric has obtained his tenure as a Professor in Statistics and Learning! |
| Sep 18, 2023 | Constantin successfully defended his PhD thesis: bidirectional compression for federated learning in a heterogeneous setting |
| Sep 1, 2023 |  Renaud started his PhD, jointly supervised with Hadrien Hendrikx |
| Mar 10, 2023 | Aymeric successfully defended his “Habilitation à Diriger des Recherches”: contributions to Federated Learning and first order optimization |