| Optimal complexity and certification of Bregman first-order methods RA Dragomir, AB Taylor, A d’Aspremont, J Bolte Mathematical Programming 194 (1), 41-83, 2022 | 135 | 2022 |
| Quartic First-Order Methods for Low Rank Minimization RA Dragomir, J Bolte, A d'Aspremont Journal of Optimization Theory and Applications 189, 2019 | 54* | 2019 |
| Fast stochastic bregman gradient methods: Sharp analysis and variance reduction RA Dragomir, M Even, H Hendrikx International Conference on Machine Learning, 2815-2825, 2021 | 50 | 2021 |
| Bregman Gradient Methods for Relatively-Smooth Optimization RA DRAGOMIR Université Toulouse 1 Capitole, 2021 | 11* | 2021 |
| Implicit bias of mirror flow on separable data S Pesme, RA Dragomir, N Flammarion Advances in Neural Information Processing Systems 37, 114094-114121, 2024 | 5 | 2024 |
| Convex quartic problems: homogenized gradient method and preconditioning RA Dragomir, Y Nesterov SIAM Journal on Optimization 35 (2), 651-677, 2025 | 3 | 2025 |
| Consensus-Based Optimization Beyond Finite-Time Analysis P Bianchi, RA Dragomir, V Priser arXiv preprint arXiv:2509.12907, 2025 | | 2025 |
| A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation E Boursier, S Pesme, RA Dragomir arXiv preprint arXiv:2505.20172, 2025 | | 2025 |
Jérôme BolteTSE, University Toulouse Capitole (France), ANITIVerified email at tse-fr.eu
