Bregman meets Lévy: Stochastic mirror descent with heavy-tailed noise in continuous and discrete time
P.-L. Cauvin and P. Mertikopoulos. In ICML '26: Proceedings of the 43rd International Conference on Machine Learning, 2026.
P.-L. Cauvin and P. Mertikopoulos. In ICML '26: Proceedings of the 43rd International Conference on Machine Learning, 2026.
P.-L. Cauvin, D. Legacci, and P. Mertikopoulos. In ICML '25: Proceedings of the 42nd International Conference on Machine Learning, 2025.
P.-L. Cauvin. Master Thesis, 2023.
P.-L. Cauvin. Technical report, 2022.
Talk at GHOST (Games, matHematical Optimization and STochastic systems) Day, Grenoble, FR
Talk at SHARP+Foundry Workshop @COLT2025, Lyon, FR
Talk at Grenoble Optimization Reading Group (GORGeous), Grenoble, FR
Talk at Grenoble Optimization Reading Group (GORGeous), Grenoble, FR