Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

21 April 2022

Papers citing "Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression"

16 / 16 papers shown

Title
Learning Curves of Stochastic Gradient Descent in Kernel Regression Haihan Zhang Weicheng Lin Yuanshi Liu Cong Fang 27 0 0 28 May 2025
Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification Xiaohan Zhu Nathan Srebro 110 0 0 03 Mar 2025
On the Pinsker bound of inner product kernel regression in large dimensions Weihao Lu Jialin Ding Haobo Zhang Qian Lin 93 1 0 02 Sep 2024
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Yan Sun MLT 96 23 0 11 Oct 2023
Six Lectures on Linearized Neural Networks Theodor Misiakiewicz Andrea Montanari 134 13 0 25 Aug 2023
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models David X. Wu A. Sahai 105 3 0 23 Jun 2023
Universality laws for Gaussian mixtures in generalized linear models Yatin Dandi Ludovic Stephan Florent Krzakala Bruno Loureiro Lenka Zdeborová FedML 97 23 0 17 Feb 2023
Interpolation Learning With Minimum Description Length N. Manoj Nathan Srebro 49 5 0 14 Feb 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width Hugo Cui Florent Krzakala Lenka Zdeborová BDL 103 39 0 01 Feb 2023
Gradient flow in the gaussian covariate model: exact solution of learning curves and multiple descent structures Antione Bodin N. Macris 72 4 0 13 Dec 2022
Near-optimal fitting of ellipsoids to random points Aaron Potechin Paxton Turner Prayaag Venkat Alexander S. Wein 57 8 0 19 Aug 2022
On the non-universality of deep learning: quantifying the cost of symmetry Emmanuel Abbe Enric Boix-Adserà FedML MLT 80 19 0 05 Aug 2022
Optimal Activation Functions for the Random Features Regression Model Jianxin Wang José Bento 63 3 0 31 May 2022
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression Lechao Xiao Hong Hu Theodor Misiakiewicz Yue M. Lu Jeffrey Pennington 125 20 0 30 May 2022
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime Hong Hu Yue M. Lu 92 16 0 13 May 2022
An Equivalence Principle for the Spectrum of Random Inner-Product Kernel Matrices with Polynomial Scalings Yue M. Lu H. Yau 65 26 0 12 May 2022