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Metarounding is an approach to convert an approximation algorithm for linearoptimization over some combinatorial classes to an online linear optimizationalgorithm for the same class. We propose a new metarounding algorithm under anatural assumption that a relax-based approximation algorithm exists for thecombinatorial class. Our algorithm is much more efficient in both theoreticaland practical aspects.

Online Combinatorial Linear Optimization via a Frank-Wolfe-based Metarounding Algorithm