Publications
See also google scholar.
Preprints
On the Convergence of Proximal Algorithms for Weakly-convex Min-max Optimization (2026)
G. Tapia, C. Castera, N. Papadakis
Preprint
arXiv
Stochastic Adaptive Gradient Descent Without Descent (2025)
J.-F. Aujol, J. Bigot, C. Castera
Preprint
arXiv
Published papers
From learning to optimize to learning optimization algorithms (2025)
C. Castera, P. Ochs
AISTATS 2025
AISTATS | arXiv
Accelerated gradient dynamics on Riemannian manifolds: faster rate and trajectory convergence (2026)
T. Natu, C. Castera, J. Fadili, P. Ochs
Optimization
Journal |arXiv
Near-optimal closed-loop method via Lyapunov damping for convex optimization (2023-2026)
S. Maier, C. Castera, P. Ochs
Journal of Optimization Theory and Applications (JOTA)
arXiv | Code
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
