Failure and success of the spectral bias prediction for Kernel Ridge Regression: the case of low-dimensional data

7 February 2022

Papers citing "Failure and success of the spectral bias prediction for Kernel Ridge Regression: the case of low-dimensional data"

4 / 4 papers shown

Title
A theoretical framework for overfitting in energy-based modeling Giovanni Catania A. Decelle Cyril Furtlehner Beatriz Seoane 62 2 0 31 Jan 2025
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning Antonio Sclocchi Mario Geiger M. Wyart 40 6 0 31 Jan 2023
Learning sparse features can lead to overfitting in neural networks Leonardo Petrini Francesco Cagnetta Eric Vanden-Eijnden M. Wyart MLT 42 23 0 24 Jun 2022
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar Cengiz Pehlevan 149 201 0 07 Feb 2020