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Steady-State Convergence of Stochastic Approximation

Zhang, Yixuan et al.
arXiv (OAI Expanded) · Papers
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machine-learningoptimization-and-controlprobability
For constant-stepsize stochastic approximation (SA), the iterates converge in distribution to a stationary law that depends on the stepsize $α.$ Steady-state convergence (SSC) concerns the limit of the scaled stationary distribution as $α\downarrow 0.$ Existing SSC theory requires i.i.d. or additive
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