Gradient flow in the gaussian covariate model: exact solution of learning curves and multiple descent structures

13 December 2022

Papers citing "Gradient flow in the gaussian covariate model: exact solution of learning curves and multiple descent structures"

5 / 5 papers shown

Title
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression Lechao Xiao Hong Hu Theodor Misiakiewicz Yue M. Lu Jeffrey Pennington 51 18 0 30 May 2022
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime Hong Hu Yue M. Lu 44 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 83 152 0 02 Mar 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 131 199 0 07 Feb 2020
Cleaning large correlation matrices: tools from random matrix theory J. Bun J. Bouchaud M. Potters 22 263 0 25 Oct 2016