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(1)
Stochastic Approximation Algorithm
Related Publications
(64)
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Stochastic approximation algorithms and applications
Stochastic approximation algorithms and applications,H. Kushner,G. Yin
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Stochastic approximation algorithms and applications
(
Citations: 661
)
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H. Kushner
,
G. Yin
Published in 1997.
Cumulative
Annual
Citation Context
(395)
...We draw our material from Kushner and Yin [
11
], which provides us with a comprehensive introduction to the stochastic approximation technique...
...The classic results of the stochastic approximation consist of two parts: the approximation and the convergence of {at }. Let us state a basic theorem (Theorem 2.1 in [
11
]) adapted for our model...
...A complete proof for much more general environments can be found in [
11
]...
...Applying Kushner and Yin [
11
], we approximate the sample path of at by the trajectory of the following ODE: ∀i ∈ I r...
In-Koo Cho
,
et al.
A Dynamic Foundation of the Rawlsian Maxmin Criterion
...Stochastic gradient descent The Pegasos algorithm is an application of a stochastic sub-gradient method (see for example [
25
,34])...
Shai Shalev-Shwartz
,
et al.
Pegasos: primal estimated sub-gradient solver for SVM
...Proof: The result follows by applying Th. 4.2 in [
7
] (p. 81) to (16), whose time difference is expressed in (23), and from the convergence property of δVk established in (19)...
N. Lechevin
,
et al.
Toward a stability monitoring system of an asset-communications networ...
...In this paper, we tackle the scalability and data streaming issue of NMF by developing e‐cient online algorithms based on stochastic approximations [
21
], which process one chunk of data points at a time.,It only uses the diagonal line of the Hessian matrix to approximate the whole matrix. † Conjugate Gradient (CG) [
1
]...
Fei Wang
,
et al.
Efficient Document Clustering via Online Nonnegative Matrix Factorizat...
...For all those situations, stochastic approximation algorithms [
8
] arise as an alternative solution to estimate [19], [21]...
Antonio G. Marques
,
et al.
Optimizing Orthogonal Multiple Access Based on Quantized Channel State...
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Citations
(661)
Opportunistic Scheduling in Cellular Systems in the Presence of Noncooperative Mobiles
(
Citations: 4
)
Veeraruna Kavitha
,
Eitan Altman
,
Rachid El-Azouzi
,
Rajesh Sundaresan
Journal:
IEEE Transactions on Information Theory - TIT
, vol. 58, no. 3, pp. 1757-1773, 2012
A Dynamic Foundation of the Rawlsian Maxmin Criterion
In-Koo Cho
,
Akihiko Matsui
Published in 2012.
Stochastic approximation driven particle swarm optimization with simultaneous perturbation - Who will guide the guide?
(
Citations: 1
)
Serkan Kiranyaz
,
Turker Ince
,
Moncef Gabbouj
Journal:
Applied Soft Computing - ASC
, vol. 11, no. 2, pp. 2334-2347, 2011
Stochastic approximation algorithms for constrained optimization via simulation
(
Citations: 1
)
Shalabh Bhatnagar
,
N. Hemachandra
,
Vivek Kumar Mishra
Journal:
ACM Transactions on Modeling and Computer Simulation - TOMACS
, vol. 21, no. 3, pp. 1-22, 2011
Pegasos: primal estimated sub-gradient solver for SVM
(
Citations: 1
)
Shai Shalev-Shwartz
,
Yoram Singer
,
Nathan Srebro
,
Andrew Cotter
Journal:
Mathematical Programming
, vol. 127, no. 1, pp. 3-30, 2011