Publications
See also google scholar.
Preprints
Near-optimal closed-loop method via Lyapunov damping for convex optimization (2023)
S. Maier, C. Castera, P. Ochs
Preprint
arXiv | Code
Accelerated gradient dynamics on Riemannian manifolds: Faster rate and trajectory convergence (2023)
T. Natu, C. Castera, J. Fadili, P. Ochs
Preprint
arXiv
Published papers
From learning to optimize to learning optimization algorithms (2025)
C. Castera, P. Ochs
To appear at AISTATS 2025
arXiv
Continuous Newton-like methods featuring inertia and variable mass (2024)
C. Castera, H. Attouch, J. Fadili, P. Ochs
SIAM Journal on Optimization (SIOPT)
SIOPT | arXiv
Inertial Newton algorithms avoiding strict saddle points (2023)
C. Castera
Journal of Optimization Theory and Applications (JOTA)
JOTA | arXiv | Code
Second-order step-size tuning of SGD for non-convex optimization (2022)
C. Castera, J. Bolte, C. Févotte, E. Pauwels
Neural Processing Letters
NePL | arXiv
An inertial Newton algorithm for deep learning (2021)
C. Castera, J. Bolte, C. Févotte, E. Pauwels
Journal of Machine Learning Research (JMLR)
JMLR | Hal | Code | Poster
