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Error Scaling Laws for Kernel Classification under Source and Capacity Conditions

Error Scaling Laws for Kernel Classification under Source and Capacity Conditions

Hugo Cui
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
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Papers citing "Error Scaling Laws for Kernel Classification under Source and Capacity Conditions"

5 / 5 papers shown
Title
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
Blake Bordelon
C. Pehlevan
AI4CE
59
1
0
04 Feb 2025
How Feature Learning Can Improve Neural Scaling Laws
How Feature Learning Can Improve Neural Scaling Laws
Blake Bordelon
Alexander B. Atanasov
C. Pehlevan
49
12
0
26 Sep 2024
Learning Curve Theory
Learning Curve Theory
Marcus Hutter
130
58
0
08 Feb 2021
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
200
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
4,460
0
23 Jan 2020