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Scaling and renormalization in high-dimensional regression
v1v2v3 (latest)

Scaling and renormalization in high-dimensional regression

1 May 2024
Alexander B. Atanasov
Jacob A. Zavatone-Veth
Cengiz Pehlevan
ArXiv (abs)PDFHTML

Papers citing "Scaling and renormalization in high-dimensional regression"

4 / 4 papers shown
Title
A theoretical framework for overfitting in energy-based modeling
A theoretical framework for overfitting in energy-based modeling
Giovanni Catania
A. Decelle
Cyril Furtlehner
Beatriz Seoane
151
2
0
31 Jan 2025
How Feature Learning Can Improve Neural Scaling Laws
How Feature Learning Can Improve Neural Scaling Laws
Blake Bordelon
Alexander B. Atanasov
Cengiz Pehlevan
106
17
0
26 Sep 2024
Bayesian RG Flow in Neural Network Field Theories
Bayesian RG Flow in Neural Network Field Theories
Jessica N. Howard
Marc S. Klinger
Anindita Maiti
A. G. Stapleton
105
2
0
27 May 2024
Asymptotic theory of in-context learning by linear attention
Asymptotic theory of in-context learning by linear attention
Yue M. Lu
Mary I. Letey
Jacob A. Zavatone-Veth
Anindita Maiti
Cengiz Pehlevan
88
16
0
20 May 2024
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