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Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient
  descent

Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent

20 February 2020
I. Ayadi
Gabriel Turinici
    ODL
ArXivPDFHTML

Papers citing "Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent"

3 / 3 papers shown
Title
Learning by solving differential equations
Learning by solving differential equations
Benoit Dherin
Michael Munn
Hanna Mazzawi
Michael Wunder
Sourabh Medapati
Javier Gonzalvo
27
0
0
19 May 2025
The convergence of the Stochastic Gradient Descent (SGD) : a
  self-contained proof
The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof
Gabrel Turinici
LRM
6
15
0
26 Mar 2021
Descending through a Crowded Valley - Benchmarking Deep Learning
  Optimizers
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M. Schmidt
Frank Schneider
Philipp Hennig
ODL
50
162
0
03 Jul 2020
1