Unverified50% confidenceFactExact time
Stochastic gradient descent (SGD) is a cornerstone of machine learning optimization, and rigorous analysis of its convergence rate usually relies on cumbersome probabilistic derivations such as martingale theory or concentration inequalities.
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10/14/2026
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