Discretely Beyond 1 /e: Guided Combinatorial Algorithms for Submodular Maximization

Neural Information Processing Systems 

These are achieved by guiding the randomized greedy algorithm with a fast local search algorithm. Further, we develop deterministic versions of these algorithms, maintaining the same ratio and asymptotic time complexity.

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