Abstract: The bounded variance, gradient Lipschitz, and unbiased stochastic gradient are three key assumptions for ensuring the convergence and generalization of stochastic methods, especially in ...

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Abstract: Stochastic optimization algorithms are widely used to solve large-scale machine learning problems. However, their theoretical analysis necessitates access to unbiased estimates of the true ...

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