Cédric Gerbelot

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Learning Curves

Top Venues

IEEE Trans. Inf. Theory

Mach. Learn. Sci. Technol.

Publications

Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová
Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods. SIAM J. Math. Data Sci. 6 (2) (2024)
Cédric Gerbelot, Avetik Karagulyan, Stefani Karp, Kavya Ravichandran, Menachem Stern, Nathan Srebro
Applying statistical learning theory to deep learning. CoRR (2023)
Cédric Gerbelot, Alia Abbara, Florent Krzakala
Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima's Replica Formula). IEEE Trans. Inf. Theory 69 (3) (2023)
Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová
Learning curves for the multi-class teacher-student perceptron. Mach. Learn. Sci. Technol. 4 (1) (2023)
Bruno Loureiro, Cédric Gerbelot, Maria Refinetti, Gabriele Sicuro, Florent Krzakala
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension. CoRR (2022)
Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová
Rigorous dynamical mean field theory for stochastic gradient descent methods. CoRR (2022)
Max Daniels, Cédric Gerbelot, Florent Krzakala, Lenka Zdeborová
Multi-layer State Evolution Under Random Convolutional Design. CoRR (2022)
Max Daniels, Cédric Gerbelot, Florent Krzakala, Lenka Zdeborová
Multi-layer State Evolution Under Random Convolutional Design. NeurIPS (2022)
Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová
Learning curves for the multi-class teacher-student perceptron. CoRR (2022)
Bruno Loureiro, Cédric Gerbelot, Maria Refinetti, Gabriele Sicuro, Florent Krzakala
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension. ICML (2022)
Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Learning curves of generic features maps for realistic datasets with a teacher-student model. NeurIPS (2021)
Cédric Gerbelot, Raphaël Berthier
Graph-based Approximate Message Passing Iterations. CoRR (2021)
Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions. NeurIPS (2021)
Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová
Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions. CoRR (2021)
Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. CoRR (2021)
Cédric Gerbelot, Alia Abbara, Florent Krzakala
Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices. COLT (2020)
Cédric Gerbelot, Alia Abbara, Florent Krzakala
Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashima's Replica Formula). CoRR (2020)