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Convergence and Convergence Rate of Stochastic Gradient Search in the
  Case of Multiple and Non-Isolated Extrema
v1v2v3v4v5 (latest)

Convergence and Convergence Rate of Stochastic Gradient Search in the Case of Multiple and Non-Isolated Extrema

6 July 2009
V. Tadic
ArXiv (abs)PDFHTML

Papers citing "Convergence and Convergence Rate of Stochastic Gradient Search in the Case of Multiple and Non-Isolated Extrema"

9 / 9 papers shown
Title
Singular-limit analysis of gradient descent with noise injection
Singular-limit analysis of gradient descent with noise injection
Anna Shalova
André Schlichting
M. Peletier
68
2
0
18 Apr 2024
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum
  Optimization
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
Junwen Qiu
Xiao Li
Andre Milzarek
114
3
0
02 Dec 2023
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
70
5
0
06 Mar 2023
On the existence of minimizers in shallow residual ReLU neural network
  optimization landscapes
On the existence of minimizers in shallow residual ReLU neural network optimization landscapes
Steffen Dereich
Arnulf Jentzen
Sebastian Kassing
70
7
0
28 Feb 2023
Convergence of stochastic gradient descent schemes for
  Lojasiewicz-landscapes
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Steffen Dereich
Sebastian Kassing
108
27
0
16 Feb 2021
Two-Timescale Stochastic Gradient Descent in Continuous Time with
  Applications to Joint Online Parameter Estimation and Optimal Sensor
  Placement
Two-Timescale Stochastic Gradient Descent in Continuous Time with Applications to Joint Online Parameter Estimation and Optimal Sensor Placement
Louis Sharrock
N. Kantas
68
7
0
31 Jul 2020
A Global Stochastic Optimization Particle Filter Algorithm
A Global Stochastic Optimization Particle Filter Algorithm
Mathieu Gerber
Randal Douc
69
4
0
09 Jul 2020
Asymptotic Bias of Stochastic Gradient Search
Asymptotic Bias of Stochastic Gradient Search
V. Tadic
Arnaud Doucet
81
59
0
30 Aug 2017
Two Timescale Stochastic Approximation with Controlled Markov noise and
  Off-policy temporal difference learning
Two Timescale Stochastic Approximation with Controlled Markov noise and Off-policy temporal difference learning
Prasenjit Karmakar
S. Bhatnagar
124
27
0
31 Mar 2015
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