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News/Stochastic Gradient Descent with Momentum is Algorithmically Stable
arxiv
PublishedOctober 2, 2026 at 4:00 AM
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Stochastic Gradient Descent with Momentum is Algorithmically Stable

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arXiv:2605.28517v2 Announce Type: replace Abstract: Stochastic gradient descent with momentum (SGDM) is one of the most widely used optimization algorithms in machine learning. While optimization properties of SGDM have been extensively studied in the literature, it remains insufficiently understood

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