Kernel Alignment Risk Estimator: Risk Prediction from Training Data

Kernel Alignment Risk Estimator: Risk Prediction from Training Data

17 June 2020

Berfin cSimcsek

Francesco Spadaro

Clément Hongler

Papers citing "Kernel Alignment Risk Estimator: Risk Prediction from Training Data"

12 / 12 papers shown

Title
Modify Training Directions in Function Space to Reduce Generalization Error Yi Yu Wenlian Lu Boyu Chen 21 0 0 25 Jul 2023
On Kernel Regression with Data-Dependent Kernels James B. Simon BDL 17 3 0 04 Sep 2022
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting Neil Rohit Mallinar James B. Simon Amirhesam Abedsoltan Parthe Pandit M. Belkin Preetum Nakkiran 24 37 0 14 Jul 2022
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks Blake Bordelon C. Pehlevan MLT 29 79 0 19 May 2022
Learning curves for the multi-class teacher-student perceptron Elisabetta Cornacchia Francesca Mignacco R. Veiga Cédric Gerbelot Bruno Loureiro Lenka Zdeborová 15 21 0 22 Mar 2022
Learning with convolution and pooling operations in kernel methods Theodor Misiakiewicz Song Mei MLT 15 29 0 16 Nov 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios Alessandro Favero Francesco Cagnetta M. Wyart 27 31 0 16 Jun 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 14 118 0 07 Jun 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 46 89 0 25 Feb 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model Bruno Loureiro Cédric Gerbelot Hugo Cui Sebastian Goldt Florent Krzakala M. Mézard Lenka Zdeborová 30 135 0 16 Feb 2021
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 139 201 0 07 Feb 2020
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 83 277 0 09 Aug 2012