Camille Castera

13 papers A 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Near-optimal Closed-loop Method via Lyapunov Damping.
J. Optim. Theory Appl.
Severin Maier, Camille Castera, Peter Ochs
2025 A conf
From Learning to Optimize to Learning Optimization Algorithms.
AISTATS
Camille Castera, Peter Ochs
2025 J jnl
Stochastic Adaptive Gradient Descent Without Descent.
CoRR
Jean-François Aujol, Jérémie Bigot, Camille Castera
2024 J jnl
Continuous Newton-like Methods Featuring Inertia and Variable Mass.
SIAM J. Optim.
Camille Castera, Hédy Attouch, Jalal Fadili, Peter Ochs
2024 J jnl
From Learning to Optimize to Learning Optimization Algorithms.
CoRR
Camille Castera, Peter Ochs
2023 J jnl
Inertial Newton Algorithms Avoiding Strict Saddle Points.
J. Optim. Theory Appl.
Camille Castera
2023 J jnl
Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization.
CoRR
Severin Maier, Camille Castera, Peter Ochs
2022 J jnl
Second-Order Step-Size Tuning of SGD for Non-Convex Optimization.
Neural Process. Lett.
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
2021 J jnl
An Inertial Newton Algorithm for Deep Learning.
J. Mach. Learn. Res.
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
2021 J jnl
Inertial Newton Algorithms Avoiding Strict Saddle Points.
CoRR
Camille Castera
2021 — —
Inertial and Second-order Optimization Algorithms for Training Neural Networks. (Algorithmes Inertiels et de Second Ordre pour l'Entraînement de Réseaux de Neurones).
Camille Castera
2021 J jnl
Second-order step-size tuning of SGD for non-convex optimization.
CoRR
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
2019 J jnl
An Inertial Newton Algorithm for Deep Learning.
CoRR
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels