Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

2 February 2024

Papers citing "Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum"

5 / 5 papers shown

Title
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders Xuwei Yang Fatemeh Tavakoli D. B. Emerson Anastasis Kratsios FedML 62 0 0 30 Apr 2025
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality Marko Medvedev Gal Vardi Nathan Srebro 49 3 0 05 Sep 2024
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 13 14 0 24 Oct 2022
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks James B. Simon Madeline Dickens Dhruva Karkada M. DeWeese 40 26 0 08 Oct 2021
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 131 199 0 07 Feb 2020