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Bounds for the smallest eigenvalue of the NTK for arbitrary spherical
  data of arbitrary dimension

Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension

23 May 2024
Kedar Karhadkar
Michael Murray
Guido Montúfar
ArXivPDFHTML

Papers citing "Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension"

2 / 2 papers shown
Title
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors
  via Alternating Projections
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
M. Miani
Hrittik Roy
Søren Hauberg
UQCV
BDL
22
0
0
22 Oct 2024
On the Proof of Global Convergence of Gradient Descent for Deep ReLU
  Networks with Linear Widths
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Quynh N. Nguyen
31
49
0
24 Jan 2021
1