### Inertial Newton algorithms avoiding strict saddle points

C. Castera (2021)*Preprint*

and Machine Learning

I am a researcher in applied mathematics and machine learning. Since February 2022, I am a postdoc at the University of Tübingen, working on the TRINOM-DS project led by Peter Ochs and Jalal Fadili.

Prior to that, I obtained my PhD degree at the IRIT laboratory of Toulouse under the supervision of Cédric Févotte, Édouard Pauwels and Jérôme Bolte. I was a member of the FACTORY project.

My research focuses on optimization algorithms for deep learning, and machine learning in general. I used to give tutorials and practicals at INP-ENSEEIHT where I taught probabilities, statistics and integration theory to master students.

- Optimization: non-convex, non-smooth, stochastic, etc.
- Deep Learning
- Theory of Machine Learning and Statistics

C. Castera (2021)*Preprint*

C. Castera, J. Bolte, C. Févotte, E. Pauwels (2022)

*Neural Processing Letters*

C. Castera, J. Bolte, C. Févotte, E. Pauwels (2021)

*Journal of Machine Learning Research*

[firstname].[lastname]@protonmail.com