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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

30 May 2022
Lechao Xiao
Hong Hu
Theodor Misiakiewicz
Yue M. Lu
Jeffrey Pennington
ArXivPDFHTML

Papers citing "Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression"

5 / 5 papers shown
Title
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying
  Bandwidth or Dimensionality
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev
Gal Vardi
Nathan Srebro
49
3
0
05 Sep 2024
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
44
15
0
13 May 2022
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy
  Regime
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
83
152
0
02 Mar 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
131
199
0
07 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
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