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Journal of Machine Learning Research, ISSN 1532-4435, 02/2017, Volume 18, pp. 1 - 33
We study a version of the proximal gradient algorithm for which the gradient is intractable and is approximated by Monte Carlo methods (and in particular... 
Monte Carlo approximations | Perturbed Majorization-Minimization algorithms | Proximal Gradient Methods | Stochastic Optimization | ERGODICITY | MODEL SELECTION | LIKELIHOOD-ESTIMATION | CONVERGENCE | INFERENCE | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 05/2014, Volume 59, Issue 5, pp. 1131 - 1146
Journal Article
Computers and Mathematics with Applications, ISSN 0898-1221, 2008, Volume 56, Issue 12, pp. 3157 - 3164
Journal Article
JOURNAL OF MACHINE LEARNING RESEARCH, ISSN 1532-4435, 2019, Volume 20
The classical convergence analysis of SGD is carried out under the assumption that the norm of the stochastic gradient is uniformly bounded. While this might... 
SGD | Hogwild | Asynchronous Stochastic Optimization | bounded gradient | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Stochastic Gradient Algorithms
Journal Article
European Journal of Operational Research, ISSN 0377-2217, 12/2018, Volume 271, Issue 3, pp. 808 - 817
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 03/2016, Volume 17
Journal Article
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 03/2019, Volume 67, Issue 5, pp. 1338 - 1352
Journal Article
Signal Processing, ISSN 0165-1684, 11/2016, Volume 128, pp. 212 - 221
Journal Article
Applied Mathematical Modelling, ISSN 0307-904X, 02/2013, Volume 37, Issue 4, pp. 1694 - 1704
Journal Article
by Pan, J and Jiang, X and Wan, XK and Ding, WF
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, ISSN 1598-6446, 06/2017, Volume 15, Issue 3, pp. 1189 - 1197
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 2009, Volume 215, Issue 4, pp. 1477 - 1483
In order to reduce computational burden and improve the convergence rate of identification algorithms, an auxiliary model based multi-innovation stochastic... 
Multivariable systems | Parameter estimation | Output error systems | Auxiliary models | Stochastic gradient | Multi-innovation identification theory | MATHEMATICS, APPLIED | PARAMETER-ESTIMATION | MISO SYSTEMS | LEAST-SQUARES IDENTIFICATION | PERFORMANCE ANALYSIS | ARMAX SYSTEMS | DUAL-RATE SYSTEMS | Analysis | Models | Algorithms
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 02/2013, Volume 58, Issue 2, pp. 391 - 405
Journal Article