About me

From November 2020 to November 2023, I was a PhD student in applied mathematics at LPSM, Université Paris Cité (Paris 7) under the supervision of Stéphane Gaïffas and Emmanuel Bacry.

I defended my PhD thesis titled “Robust Algorithms an Other Contributions to Machine Learning” on December 12th 2023. You can find the manuscript here and the slides here.

My main research interests are at the intersection of Machine Learning, Robust statistics and Optimization.

Publications

• Convergence and concentration properties of constant step-size SGD through Markov chains. Preprint. Joint work with S. Gaïffas. arXiv

• Robust Stochastic Optimization via Gradient Quantile Clipping. Preprint. Joint work with S. Gaïffas. arXiv

• WildWood: a new Random Forest algorithm. Published in the IEEE Transactions on Information theory. Joint work with S. Gaïffas, Y. Yu. arXiv. Python implementation available on github.

• Robust supervised learning with coordinate gradient descent. Accepted for publication in Springer’s Statistics \& Computing journal. Joint work with S. Gaïffas. Accepted version. Python implementation available on github.

• Robust methods for high-dimensional linear learning. Published in the Journal of machine learning research. Joint work with S. Gaïffas. arXiv. Python implementation available on github.

• About contrastive unsupervised representation learning for classification and its convergence. Preprint. Joint work with Yiyang Yu, Stéphane Gaïffas and Emmanuel Bacry. arXiv