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Accelerated Gradient Descent

topic1 events
papersSEP 11 04:00 UTC

Silver Rate Proved Near-Optimal for Accelerated Gradient Descent

Researchers analyze how much predetermined stepsizes can speed up gradient descent in smooth convex optimization. They establish a lower bound matching the so-called silver rate, up to a doubly logarithmic correction factor. The result indicates that this rate is essentially the best achievable acceleration for the setting studied.

optimization/gradient-descent/convex-optimization/theory