Deterministic equivalent and error universality of deep random features learning

1 February 2023

Papers citing "Deterministic equivalent and error universality of deep random features learning"

9 / 9 papers shown

Title
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime Francesco Camilli D. Tieplova Eleonora Bergamin Jean Barbier 177 0 0 06 May 2025
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure Samet Demir Zafer Dogan MLT 34 0 0 02 Mar 2025
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 63 0 0 31 Dec 2024
Exact threshold for approximate ellipsoid fitting of random points Antoine Maillard Afonso S. Bandeira 29 2 0 09 Oct 2023
Universality of max-margin classifiers Andrea Montanari Feng Ruan Basil Saeed Youngtak Sohn 31 4 0 29 Sep 2023
Learning curves for deep structured Gaussian feature models Jacob A. Zavatone-Veth Cengiz Pehlevan MLT 25 11 0 01 Mar 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width Hugo Cui Florent Krzakala Lenka Zdeborová BDL 27 35 0 01 Feb 2023
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime Hong Hu Yue M. Lu 53 15 0 13 May 2022
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 95 152 0 02 Mar 2020