Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2010.02681
Cited By
Kernel regression in high dimensions: Refined analysis beyond double descent
6 October 2020
Fanghui Liu
Zhenyu Liao
Johan A. K. Suykens
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Kernel regression in high dimensions: Refined analysis beyond double descent"
13 / 13 papers shown
Title
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
Tin Sum Cheng
Aurelien Lucchi
Anastasis Kratsios
David Belius
40
8
0
02 Feb 2024
Strong inductive biases provably prevent harmless interpolation
Michael Aerni
Marco Milanta
Konstantin Donhauser
Fanny Yang
35
9
0
18 Jan 2023
On the Impossible Safety of Large AI Models
El-Mahdi El-Mhamdi
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
L. Hoang
Rafael Pinot
Sébastien Rouault
John Stephan
30
31
0
30 Sep 2022
Benefit of Interpolation in Nearest Neighbor Algorithms
Yue Xing
Qifan Song
Guang Cheng
11
28
0
23 Feb 2022
Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks
Zhichao Wang
Yizhe Zhu
35
18
0
20 Sep 2021
Towards an Understanding of Benign Overfitting in Neural Networks
Zhu Li
Zhi-Hua Zhou
Arthur Gretton
MLT
33
35
0
06 Jun 2021
Adversarially Robust Kernel Smoothing
Jia-Jie Zhu
Christina Kouridi
Yassine Nemmour
Bernhard Schölkopf
28
7
0
16 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
35
135
0
16 Feb 2021
Multiple Descent: Design Your Own Generalization Curve
Lin Chen
Yifei Min
M. Belkin
Amin Karbasi
DRL
28
61
0
03 Aug 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
44
172
0
23 Apr 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
Cengiz Pehlevan
146
201
0
07 Feb 2020
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
86
277
0
09 Aug 2012
Elastic-Net Regularization in Learning Theory
C. D. Mol
E. De Vito
Lorenzo Rosasco
OOD
CML
110
306
0
22 Jul 2008
1