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Central limit theorems for stochastic gradient descent with averaging
  for stable manifolds

Central limit theorems for stochastic gradient descent with averaging for stable manifolds

19 December 2019
Steffen Dereich
Sebastian Kassing
ArXivPDFHTML

Papers citing "Central limit theorems for stochastic gradient descent with averaging for stable manifolds"

3 / 3 papers shown
Title
On the existence of optimal shallow feedforward networks with ReLU
  activation
On the existence of optimal shallow feedforward networks with ReLU activation
Steffen Dereich
Sebastian Kassing
35
4
0
06 Mar 2023
Convergence of stochastic gradient descent schemes for
  Lojasiewicz-landscapes
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Steffen Dereich
Sebastian Kassing
36
27
0
16 Feb 2021
Overall error analysis for the training of deep neural networks via
  stochastic gradient descent with random initialisation
Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation
Arnulf Jentzen
Timo Welti
29
15
0
03 Mar 2020
1