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Fudan University
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Standard SGD can get arbitrarily close to an anytime convergence rate of $\sqrt{\log n / n}$, but hitting that benchmark exactly is mathematically impossible under any deterministic step-size schedule.
By framing geo-localization as a human-like reasoning challenge, GeoPAVE significantly reduces perceptual errors and enhances decision accuracy in ambiguous visual contexts.
