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Convergence of stochastic gradient descent under a local Lojasiewicz
  condition for deep neural networks

Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks

18 April 2023
Jing An
Jianfeng Lu
ArXivPDFHTML

Papers citing "Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks"

3 / 3 papers shown
Title
Convergence of continuous-time stochastic gradient descent with
  applications to linear deep neural networks
Convergence of continuous-time stochastic gradient descent with applications to linear deep neural networks
Gabor Lugosi
Eulalia Nualart
11
0
0
11 Sep 2024
Generalization Performance of Empirical Risk Minimization on
  Over-parameterized Deep ReLU Nets
Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets
Shao-Bo Lin
Yao Wang
Ding-Xuan Zhou
ODL
11
6
0
28 Nov 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,194
0
16 Aug 2016
1