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Accelerated stochastic approximation with state-dependent noise
However, to the best of our knowledge, none of the existing stochastic approximation algorithms for solving this class of problems attain optimality in terms of the dependence on accuracy, problem parameters, and mini-batch size.
Stochastic Mirror Descent for Large-Scale Sparse Recovery
In this paper we discuss an application of Stochastic Approximation to statistical estimation of high-dimensional sparse parameters.
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