Camille Castera

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Convergence Rate

Convex Optimization

Top Venues

J. Optim. Theory Appl.

J. Mach. Learn. Res.

Publications

Camille Castera, Peter Ochs
From Learning to Optimize to Learning Optimization Algorithms. CoRR (2024)
Camille Castera, Hédy Attouch, Jalal Fadili, Peter Ochs
Continuous Newton-like Methods Featuring Inertia and Variable Mass. SIAM J. Optim. 34 (1) (2024)
Camille Castera
Inertial Newton Algorithms Avoiding Strict Saddle Points. J. Optim. Theory Appl. 199 (3) (2023)
Severin Maier, Camille Castera, Peter Ochs
Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization. CoRR (2023)
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
Second-Order Step-Size Tuning of SGD for Non-Convex Optimization. Neural Process. Lett. 54 (3) (2022)
Camille Castera
Inertial Newton Algorithms Avoiding Strict Saddle Points. CoRR (2021)
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
Second-order step-size tuning of SGD for non-convex optimization. CoRR (2021)
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
An Inertial Newton Algorithm for Deep Learning. J. Mach. Learn. Res. 22 (2021)
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
An Inertial Newton Algorithm for Deep Learning. CoRR (2019)