An Equivalence Principle for the Spectrum of Random Inner-Product Kernel Matrices with Polynomial Scalings

12 May 2022

Papers citing "An Equivalence Principle for the Spectrum of Random Inner-Product Kernel Matrices with Polynomial Scalings"

17 / 17 papers shown

Title
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions P. Abry G. Didier Oliver Orejola H. Wendt 116 0 0 30 Jan 2025
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models David X. Wu A. Sahai 55 3 0 23 Jun 2023
Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression Theodor Misiakiewicz 43 40 0 21 Apr 2022
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 95 138 0 16 Feb 2021
The Gaussian equivalence of generative models for learning with shallow neural networks Sebastian Goldt Bruno Loureiro Galen Reeves Florent Krzakala M. Mézard Lenka Zdeborová BDL 75 103 0 25 Jun 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 64 169 0 21 Feb 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar Cengiz Pehlevan 214 206 0 07 Feb 2020
The generalization error of random features regression: Precise asymptotics and double descent curve Song Mei Andrea Montanari 83 635 0 14 Aug 2019
Linearized two-layers neural networks in high dimension Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari MLT 45 243 0 27 Apr 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 184 743 0 19 Mar 2019
A Random Matrix Approach to Neural Networks Cosme Louart Zhenyu Liao Romain Couillet 65 161 0 17 Feb 2017
The Spectral Norm of Random Inner-Product Kernel Matrices Z. Fan Andrea Montanari 108 47 0 19 Jul 2015
An Introduction to Matrix Concentration Inequalities J. Tropp 159 1,149 0 07 Jan 2015
On the principal components of sample covariance matrices Alex Bloemendal Antti Knowles H. Yau J. Yin 116 152 0 03 Apr 2014
Sparse PCA via Covariance Thresholding Y. Deshpande Andrea Montanari 112 106 0 20 Nov 2013
The spectrum of kernel random matrices N. Karoui 154 224 0 04 Jan 2010
Covariance regularization by thresholding Peter J. Bickel Elizaveta Levina 202 1,272 0 20 Jan 2009