An Inertial Newton Algorithm for Deep Learning. - Camille Castera; Jérôme Bolte; Cédric Févotte; Edouard Pauwels (J. Mach. Learn. Res., 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)

Second-Order Step-Size Tuning of SGD for Non-Convex Optimization. - Camille Castera; Jérôme Bolte; Cédric Févotte; Edouard Pauwels (Neural Process. Lett., 2022)

Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization. - Severin Maier; Camille Castera; Peter Ochs (CoRR, 2023)

Inertial Newton Algorithms Avoiding Strict Saddle Points. - Camille Castera (J. Optim. Theory Appl., 2023)

Continuous Newton-like Methods Featuring Inertia and Variable Mass. - Camille Castera; Hédy Attouch; Jalal Fadili; Peter Ochs (SIAM J. Optim., 2024)

From Learning to Optimize to Learning Optimization Algorithms. - Camille Castera; Peter Ochs (AISTATS, 2025)