Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

2 February 2024

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

8 / 8 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
Benign Overfitting with Quantum Kernels Joachim Tomasi S. Anthoine Hachem Kadri 42 0 0 21 Mar 2025
Overfitting Regimes of Nadaraya-Watson Interpolators Daniel Barzilai Guy Kornowski Ohad Shamir 76 0 0 11 Feb 2025
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality Marko Medvedev Gal Vardi Nathan Srebro 65 3 0 05 Sep 2024
The phase diagram of kernel interpolation in large dimensions Haobo Zhang Weihao Lu Qian Lin 57 5 0 19 Apr 2024
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 28 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 45 27 0 08 Oct 2021
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 139 201 0 07 Feb 2020