Gaspard Beugnot

On the Benefits of Large Learning Rates for Kernel Methods

J. Mairal, Alessandro Rudi, Gaspard Beugnot, 2022, COLT.

Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization pdf

Alessandro Rudi, Julien Mairal, Gaspard Beugnot, 2021, NeurIPS.

Machine learning meets classical computer vision for accurate cell identification

P. Siegel, D. Quail, M. Guiot, 2022, bioRxiv.

Improving Approximate Optimal Transport Distances using Quantization

Kristjan H. Greenewald, J. Solomon, Aude Genevay, 2021, UAI.

GloptiNets: Scalable Non-Convex Optimization with Certificates

J. Mairal, Alessandro Rudi, Gaspard Beugnot, 2023, NeurIPS.