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Analysis of gradient descent methods with non-diminishing, bounded
  errors
v1v2v3 (latest)

Analysis of gradient descent methods with non-diminishing, bounded errors

1 April 2016
Arunselvan Ramaswamy
S. Bhatnagar
ArXiv (abs)PDFHTML

Papers citing "Analysis of gradient descent methods with non-diminishing, bounded errors"

3 / 3 papers shown
Title
Inexact subgradient methods for semialgebraic functions
Inexact subgradient methods for semialgebraic functions
Jérôme Bolte
Tam Le
Éric Moulines
Edouard Pauwels
110
2
0
30 Apr 2024
Solution of Definite Integrals using Functional Link Artificial Neural
  Networks
Solution of Definite Integrals using Functional Link Artificial Neural Networks
Satyasaran Changdar
Snehangshu Bhattacharjee
18
4
0
21 Apr 2019
Stability of Stochastic Approximations with `Controlled Markov' Noise
  and Temporal Difference Learning
Stability of Stochastic Approximations with `Controlled Markov' Noise and Temporal Difference Learning
Arunselvan Ramaswamy
S. Bhatnagar
45
21
0
23 Apr 2015
1