Gerbelot, Cédric

5 publications

ICML 2022 Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension Bruno Loureiro, Cedric Gerbelot, Maria Refinetti, Gabriele Sicuro, Florent Krzakala

NeurIPS 2022 Multi-Layer State Evolution Under Random Convolutional Design Mara Daniels, Cedric Gerbelot, Florent Krzakala, Lenka Zdeborová

NeurIPS 2021 Learning Curves of Generic Features Maps for Realistic Datasets with a Teacher-Student Model Bruno Loureiro, Cedric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mezard, Lenka Zdeborová

NeurIPS 2021 Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-Dimensions Bruno Loureiro, Gabriele Sicuro, Cedric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová

COLT 2020 Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression Beyond Gaussian Matrices Cédric Gerbelot, Alia Abbara, Florent Krzakala