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Tung Le

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Preprint Aug 2026

On the Iterate Convergence of AdaGrad for Generalized Smooth Convex Optimization

This work constructs a counterexample empirically showing that smoothness alone is not sufficient for the sequential convergence of AdaGrad-type algorithms, and suggesting that additional geometric hypotheses are indispensable for sequential convergence results.

Mathieu Besançon, Tung Le · 0 citations

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