Error Scaling Laws for Kernel Classification under Source and Capacity
Conditions

Error Scaling Laws for Kernel Classification under Source and Capacity Conditions

29 January 2022

Florent Krzakala

Lenka Zdeborová

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 Blake Bordelon C. Pehlevan AI4CE 59 1 0 04 Feb 2025
How Feature Learning Can Improve Neural Scaling Laws Blake Bordelon Alexander B. Atanasov C. Pehlevan 49 12 0 26 Sep 2024
Learning Curve Theory Marcus Hutter 128 56 0 08 Feb 2021
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 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