Camille Castera

According to our database, Camille Castera authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

From Learning to Optimize to Learning Optimization Algorithms.

Camille Castera, Peter Ochs

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Continuous Newton-like Methods Featuring Inertia and Variable Mass.

Camille Castera, Hédy Attouch, Jalal Fadili, Peter Ochs

SIAM J. Optim., March, 2024

2023

Inertial Newton Algorithms Avoiding Strict Saddle Points.

Camille Castera

J. Optim. Theory Appl., December, 2023

Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization.

Severin Maier, Camille Castera, Peter Ochs

CoRR, 2023

2022

Second-Order Step-Size Tuning of SGD for Non-Convex Optimization.

Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels

Neural Process. Lett., 2022

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

PhD thesis, 2021

An Inertial Newton Algorithm for Deep Learning.

Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels

J. Mach. Learn. Res., 2021