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papersTODAY 04:00 UTC

arXiv Paper Analyzes Steady-State Convergence in Constant-StepSize Stochastic Approximation

A new arXiv preprint examines constant-stepsize stochastic approximation, where iterates settle into a stationary distribution that varies with the chosen stepsize. The work focuses on steady-state convergence, meaning the behavior of the rescaled stationary law as the stepsize shrinks toward zero. It is a theoretical contribution to the analysis of stochastic optimization algorithms rather than a released model or tool.

arXiv constant step size stationary distribution steady-state convergence stochastic approximation stochastic optimization

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arXiv cs.LGSteady-State Convergence of Stochastic Approximation ↗TODAY 04:00 UTC