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A Rate Transfer Method: Convergence Rates in Stochastic Gradient Descent via Stochastic Calculus

Walton, Neil
arXiv (All) · Papers
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g-3i-2-6machine-learningoptimization-and-controlprobability
We develop a rate-transfer method that converts finite-time Lyapunov estimates for an associated stochastic differential equation (SDE) into finite-time convergence bounds for stochastic gradient algorithms. Under generic moment and smoothness conditions, the convergence analysis of the stochastic g
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