| Exact worst-case convergence rates of gradient descent: a complete analysis for all constant stepsizes over nonconvex and convex functions T Rotaru, F Glineur, P Patrinos arXiv preprint arXiv:2406.17506, 2024 | 12 | 2024 |
| Tight convergence rates of the gradient method on hypoconvex functions T Rotaru, F Glineur, P Panagiotis arXiv preprint arXiv:2203.00775, 2022 | 8 | 2022 |
| Tight convergence rates of the gradient method on smooth hypoconvex functions T Rotaru, F Glineur, P Patrinos arXiv preprint arXiv:2203.00775, 2022 | 4 | 2022 |
| Improved convergence rates for the Difference-of-Convex algorithm T Rotaru, P Patrinos, F Glineur arXiv preprint arXiv:2403.16864, 2024 | 1 | 2024 |
| Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent T Rotaru, P Patrinos, F Glineur arXiv preprint arXiv:2503.04486, 2025 | | 2025 |
| Performance Analysis of Gradient Method on Smooth Hypoconvex Functions T Rotaru, F Glineur, P Patrinos SIAM Conference on Optimization, Date: 2023/05/31-2023/06/03, Location …, 2024 | | 2024 |
| Tight Convergence Rates of the Gradient Method on Smooth Nonconvex, Convex and Hypoconvex Functions T Rotaru, F Glineur, P Patrinos 21st Conference on Advances in Continuous Optimization (EUROPT), Date: 2023 …, 2023 | | 2023 |
| Towards tight convergence rates of the gradient method on hypoconvex functions T Rotaru, F Glineur, P Patrinos 41st Benelux Meeting on Systems and Control, Date: 2022/07/07-2022/07/07 …, 2022 | | 2022 |
| High Performance Vehicle Dynamics Model for Autonomous Driving Simulation R Düll, S Khatri, T Rotaru, F Sievers | | 2020 |
François GlineurProfessor, Université catholique de Louvain (UCLouvain) - ICTEAM / INMA & CORE - EPL確認したメール アドレス: uclouvain.be