Changelog

This page is a changelog & news for my website (reverse chronological).

2025¶

• April 17: I gave a talk at MaLGa in Genoa, hosted by L. Calatroni.
• April 1: Our paper Geometric and computational hardness of bilevel programming has been accepted to Math. Prog!
• March 24: I give a talk at GDR IASIS day on bilevel optimization in Lyon.
• February 2-7: I was in Oberwolfach for the Mathematical Imaging and Surface Processing workshop. The report is available.
• January 29-31: I gave a 5-hours introduction to language models at the Winter school Dijon-Besaçon.
• January 13-15: We organized MIA 2025 Conference in Paris.

2024¶

• December 16-19: We organized the ICSDS 2024 Conference in Nice.
• December 10-15: I will be in Vancouver for NeurIPS.
• December 3: Matthieu Cordonnier defended his PhD thesis on "Neural networks on large scale random graphs". Congrats!
• November 28: I gave an invited talk at SophIA Summit
• November 7: Our paper Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs was accepted for publication in J. Mach. Learn. Res.
• October 8: Mathieu Dagréou defended his PhD thesis on "Contributions to stochastic bilevel optimization". Congratulations Mathieu!
• September 26: Just learned that I will be a 3IA chair holder for the next 4 years for my project BOGL (Bilevel Optimization for Graph Learning).
• September 26: Our (w/ F. Iutzeler & E. Pauwels) paper Derivatives of Stochastic Gradient Descent was accepted to NeurIPS 2024.
• September 23-25: We organized with L. Calatroni the LOCA workshop in Sophie-Antipolis.
• September 10: I gave a talk at the Statistical and Probabilistic Analysis of Random Networks and Processes conference.
• September 2: Started my tweet serie "One Piece of Math a Day" on Twitter. Also available on my website here.
• July 9: I gave a talk at Inria Grenoble on automatic differentiation.
• July 1-3: Attending EURO 2024. I will give an invited talk in the "Algorithms for machine learning and inverse problems" session.
• June 27: The grant ANR MAD was just accepted. I will be the PI of the project "Mathematics of Automatic Differentiation" for the next 4 years with the following consortium: J. Bolte, S. Gadat, E. Pauwels (Toulouse School of Economics), G. Fort, F. Iutzeler (Université Paul Sabatier) and J.-B. Caillau, Y. Laguel (Université Côte d'Azur).
• June 23-30: Visiting G. Gidel at MILA. I gave a talk at MTL Opt.
• June 15: Accepted paper to TMLR with Hashem Ghanem and Nicolas Keriven Gradient Scarcity with Bilevel Optimization for Graph Learning with Featured Certification!
• May 28: New preprint with Sophie Jaffard and Patricia Reynaud-Bouret CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration.
• May 21: New preprint with Franck Iutzeler and Edouard Pauwels on the Derivatives of Stochastic Gradient Descent.
• April 9: Our blogpost with Mathieu Dagréou, Pierre Ablin and Thomas Moreau How to compute Hessian-vector products? was accepted to ICLR 2024 as spotlight.
• March 1-9: Visiting A. Bietti at CCM, Flatiron Institute, NYC. I presented our work on iterative automatic differentiation.
• January 24: Talk at the kickoff meeting of the PEPR PDE-AI project.
• January 20: Our papers Provable local learning rule by expert aggregation for a Hawkes network and A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization were accepted to AISTATS 2024.