An inertial newton algorithm for deep learning C Castera, J Bolte, C Févotte, E Pauwels Journal of Machine Learning Research 22 (134), 1-31, 2021 | 77* | 2021 |
Second-order step-size tuning of SGD for non-convex optimization C Castera, J Bolte, C Févotte, E Pauwels Neural Processing Letters 54 (3), 1727-1752, 2022 | 13 | 2022 |
Continuous Newton-like methods featuring inertia and variable mass C Castera, H Attouch, J Fadili, P Ochs SIAM Journal on Optimization 34 (1), 251-277, 2024 | 4 | 2024 |
Inertial Newton algorithms avoiding strict saddle points C Castera Journal of Optimization Theory and Applications 199 (3), 881-903, 2023 | 3 | 2023 |
From Learning to Optimize to Learning Optimization Algorithms C Castera, P Ochs arXiv preprint arXiv:2405.18222, 2024 | 1 | 2024 |
Accelerated Gradient Dynamics on Riemannian Manifolds: Faster Rate and Trajectory Convergence T Natu, C Castera, J Fadili, P Ochs arXiv preprint arXiv:2312.06366, 2023 | | 2023 |
Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization S Maier, C Castera, P Ochs arXiv preprint arXiv:2311.10053, 2023 | | 2023 |
Inertial and Second-order Optimization Algorithms for Training Neural Networks C Castera Institut National Polytechnique de Toulouse-INPT, 2021 | | 2021 |