Search Results - asynchronous stochastic approximation arguments

Distributed asynchronous consensus-based algorithm for blind calibration of sensor networks with autonomous gain correction by Stanković, Maja

“… It is proved using asynchronous stochastic approximation arguments that the algorithm achieves asymptotic consensus with regard to both the corrected sensor gains and offsets in the mean square sense…”
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Learning Stationary Correlated Equilibria in Constrained General-Sum Stochastic Games by Hakami, Vesal, Dehghan, Mehdi

“… A rigorous convergence analysis with differential inclusion arguments is given which draws on recent extensions of the theory of stochastic approximation to the case of asynchronous recursive…”
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Asynchronous Distributed Blind Calibration of Sensor Networks Under Noisy Measurements by Stankovic, Milos S., Stankovic, Srdjan S., Johansson, Karl Henrik

“… It is proved using asynchronous stochastic approximation arguments and properties of block-diagonally dominant matrices that the algorithm achieves asymptotic consensus for sensor gains and offsets…”
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Asynchronous Stochastic Approximation with Differential Inclusions by Perkins, Steven, Leslie, David S.

“…The asymptotic pseudo-trajectory approach to stochastic approximation of Benaïm, Hofbauer and Sorin is extended for asynchronous stochastic approximations with a set-valued mean field…”
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Asynchronous Stochastic Approximation with Differential Inclusions by Perkins, Steven, Leslie, David S

“…The asymptotic pseudo-trajectory approach to stochastic approximation of Benaim, Hofbauer and Sorin is extended for asynchronous stochastic approximations with a set-valued mean field…”
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Learning Stationary Correlated Equilibria in Constrained General-Sum Stochastic Games by Hakami, Vesal, Dehghan, Mehdi

“… A rigorous convergence analysis with differential inclusion arguments is given which draws on recent extensions of the theory of stochastic approximation to the case of asynchronous recursive…”
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Long-tail buffer-content distributions in broadband networks by Choudhury, Gagan L., Whitt, Ward

“… For this purpose, we analyze an infinite-capacity stochastic fluid model with a general stationary environment process…”
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Spontaneous scale-free structure of spike flow graphs in recurrent neural networks by Piȩkniewski, Filip, Schreiber, Tomasz

“…In this paper we introduce a simple and mathematically tractable model of an asynchronous spiking neural network which to some extent generalizes the concept of a Boltzmann machine…”
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A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning by Mokhtari, Aryan, Koppel, Alec, Ribeiro, Alejandro

“… To solve these problems we propose the random parallel stochastic algorithm (RAPSA). We call the algorithm random parallel because it utilizes multiple parallel processors to operate on a randomly chosen subset of blocks of the feature vector…”
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