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Overparameterized random feature regression with nearly orthogonal data

Overparameterized random feature regression with nearly orthogonal data

11 November 2022
Zhichao Wang
Yizhe Zhu
ArXivPDFHTML

Papers citing "Overparameterized random feature regression with nearly orthogonal data"

4 / 4 papers shown
Title
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product
  Kernel Regression
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression
Lechao Xiao
Hong Hu
Theodor Misiakiewicz
Yue M. Lu
Jeffrey Pennington
65
18
0
30 May 2022
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
Hong Hu
Yue M. Lu
51
15
0
13 May 2022
Random matrices in service of ML footprint: ternary random features with
  no performance loss
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali
Zhenyu Liao
Romain Couillet
38
7
0
05 Oct 2021
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
86
277
0
09 Aug 2012
1