Since October 2023, I am a post-doctoral researcher in the Probability and Statistics team, Institut de Mathématiques d'Orsay, Université Paris-Saclay (France). My supervisors are Gilles Blanchard and Christophe Giraud.

I completed my PhD in Machine Learning in March 2020, supervised by Guillaume Charpiat and Yann Ollivier, at the TAU team, LRI.

Here is my CV: [fra], [eng].

Thesis: *Structural Learning of Neural Networks*
[final version].

Defense carried out on March 6th, 2020.

- deep learning, neural networks (NNs);
- theory: optimization, Bayesian/Variational inference;
- hyperparameter search, tuning or removal: neural network pruning, learning rate tuning;
- other: neural tangent kernels, random weights, weight initialization...

*Adapting Newton's Method to Neural Networks through a Summary of Higher-Order Derivatives*(2023), P. Wolinski [link] [code]*Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review*(2023), M. T. Lê, P. Wolinski, J. Arbel [link]*Rethinking Gauss-Newton for learning over-parameterized models*(NeurIPS 2023, poster), M. Arbel, R. Ménégaux, P. Wolinski [link]*Gaussian Pre-Activations in Neural Networks: Myth or Reality?*(2022), P. Wolinski, J. Arbel [link] [code]*An Equivalence between Bayesian Priors and Penalties in Variational Inference*(2020), P. Wolinski, G. Charpiat, Y. Ollivier [link]*Learning with Random Learning Rates*(ECML 2019), L. Blier, P. Wolinski, Y. Ollivier [link] [code]*Asymmetrical Scaling Layers for Stable Network Pruning*, P. Wolinski, G. Charpiat, Y. Ollivier [draft]*Consistance des méthodes RKHS dans le cadre de la minimisation d’un risque convexe*(Master thesis, 2015), P. Wolinski, supervised by F. d'Alché-Buc, E. Moulines, F. Roueff [link]

- 2020: PhD in Computer Science, University Paris-Saclay (formerly University Paris-Sud).
- 2017: Graduate degree in Mathematics (Physics option) at the École Normale Supérieure (Paris).
- 2016: Master degree in Mathematics (Probability and Statistics), University Paris-Sud.

2023 - now: post-doctoral researcher in the Probability and Statistics team, Université Paris-Saclay, France (supervised by Gilles Blanchard and Christophe Giraud).

2021 - 2023: post-doctoral researcher in the Statify team, Inria Grenoble-Alpes, France (supervised by Julyan Arbel).

2020 - 2021: post-doctoral researcher at the Department of Statistics of the University of Oxford, UK (supervised by Judith Rousseau).

2016 - 2020: PhD student in Computer Science at the team TAU, LRI, University Paris-Sud/Inria, France (supervised by Guillaume Charpiat and Yann Ollivier).

2011 - 2016: Math student at the École Normale Supérieure, Paris, France.

2008 - 2011: Physics/Chemistry student in "classe préparatoire".

2008: Baccalauréat.