Welcome

I am an associate professor ("maître de conférences" in french) in optimization and machine learning at the mathematical institute of the university of Bordeaux (IMB).

From 2022 to 2024, I was a postdoc at the University of Tübingen, working on the TRINOM-DS project led by Peter Ochs and Jalal Fadili. Prior to that, I wrote my PhD thesis (available here) at the IRIT laboratory in Toulouse (supervised by Cédric Févotte, Edouard Pauwels and Jérôme Bolte). I was a member of the FACTORY project.

My research focuses on optimization algorithms for machine learning (mainly second-order methods with application to deep learning), and learning optimization algorithms.

Research interests

Selected publications

From learning to optimize to learning optimization algorithms (2024)

C. Castera, P. Ochs
Preprint

Near-optimal closed-loop method via Lyapunov damping for convex optimization (2023)

S. Maier, C. Castera, P. Ochs
Preprint

Continuous Newton-like methods featuring inertia and variable mass (2023)

C. Castera, H. Attouch, J. Fadili, P. Ochs
SIAM Journal on Optimization (SIOPT)

An inertial Newton algorithm for deep learning (2021)

C. Castera, J. Bolte, C. Févotte, E. Pauwels
Journal of Machine Learning Research (JMLR)

Teaching

From 2018 to 2021 I gave tutorials and practicals to master students at INP-ENSEEIHT where I taught the following:

Contact

[firstname].[lastname]@math.u-bordeaux.fr