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TOOL · CL_218837 · Aug 26 · 04:00

New algorithm achieves optimal alternating regret for online learning

Researchers have developed a new algorithm that achieves optimal alternating regret for online linear and convex optimization problems. This advancement significantly improves convergence rates to Nash and coarse correl…