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