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Why Clipping Matters in AdaGrad? Toward a High-Probability Theory under Generalized Smoothness

arXiv:2609.30276v1 Announce Type: new Abstract: We analyze the original same-step coordinate-wise AdaGrad under generalized smoothness and heavy-tailed noise with bounded variance. In this setting, local curvature may grow sub-quadratically with the gradient norm, and stochastic gradients are assum…

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  1. 2026-09-28 04:00 · arXiv cs.LG
    Why Clipping Matters in AdaGrad? Toward a High-Probability Theory under Generalized Smoothness

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