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Convergence and Convergence Rate of Stochastic Gradient Search in the Case of Multiple and Non-Isolated Extrema
6 July 2009
V. Tadic
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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
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0
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A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
Junwen Qiu
Xiao Li
Andre Milzarek
114
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02 Dec 2023
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
Steffen Dereich
Arnulf Jentzen
Sebastian Kassing
70
7
0
28 Feb 2023
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
Louis Sharrock
N. Kantas
68
7
0
31 Jul 2020
A Global Stochastic Optimization Particle Filter Algorithm
Mathieu Gerber
Randal Douc
69
4
0
09 Jul 2020
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
Prasenjit Karmakar
S. Bhatnagar
124
27
0
31 Mar 2015
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