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Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids, and Full-Bandit Learning

Aggarwal, Vaneet
arXiv (All) · Papers
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artificial-intelligencecomputational-complexitymachine-learningoptimization-and-control
We study nonnegative submodular maximization on $n$ elements subject to a general matroid of rank $k$, when the offline algorithm is given an arbitrary controlled value oracle. Our main result is an adversarial resilience theorem for the Spiteful Greedy Swap Poisson Process (SGS-Poisson): without mo
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