ImprovedAlgorithmsforOnlineSubmodular MaximizationviaFirst-orderRegretBounds
–Neural Information Processing Systems
In this work, we give a general approach for improving regret bounds in online submodular maximization by exploiting"first-order" regret boundsfor online linearoptimization.
Neural Information Processing Systems
Feb-7-2026, 07:17:11 GMT
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