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We consider linear costs ft(x) · 2000

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Partially Lazy Gradient Descent for Smoothed Online Learning

cs.LG · 2026-01-22 · unverdicted · novelty 6.0

k-lazyGD achieves optimal dynamic regret O(sqrt((P_T+1)T)) in SOCO for laziness k up to Theta(sqrt(T/P_T)).

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Partially Lazy Gradient Descent for Smoothed Online Learning cs.LG · 2026-01-22 · unverdicted · none · ref 6
k-lazyGD achieves optimal dynamic regret O(sqrt((P_T+1)T)) in SOCO for laziness k up to Theta(sqrt(T/P_T)).

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