Quantitative deterministic equivalent of sample covariance matrices with a general dependence structure

23 November 2022

Papers citing "Quantitative deterministic equivalent of sample covariance matrices with a general dependence structure"

6 / 6 papers shown

Title
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities Yatin Dandi Luca Pesce Hugo Cui Florent Krzakala Yue M. Lu Bruno Loureiro MLT 37 1 0 24 Oct 2024
Asymptotics of Learning with Deep Structured (Random) Features Dominik Schröder Daniil Dmitriev Hugo Cui Bruno Loureiro 56 6 0 21 Feb 2024
Deterministic equivalent of the Conjugate Kernel matrix associated to Artificial Neural Networks Clément Chouard 28 2 0 09 Jun 2023
Deterministic equivalent and error universality of deep random features learning Dominik Schröder Hugo Cui Daniil Dmitriev Bruno Loureiro MLT 29 28 0 01 Feb 2023
Overparameterized random feature regression with nearly orthogonal data Zhichao Wang Yizhe Zhu 26 3 0 11 Nov 2022
On double-descent in uncertainty quantification in overparametrized models Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 46 12 0 23 Oct 2022