Do Less, Get More: Streaming Submodular Maximization with Subsampling

NeurIPS 2018 Moran FeldmanAmin KarbasiEhsan Kazemi

In this paper, we develop the first one-pass streaming algorithm for submodular maximization that does not evaluate the entire stream even once. By carefully subsampling each element of data stream, our algorithm enjoys the tightest approximation guarantees in various settings while having the smallest memory footprint and requiring the lowest number of function evaluations... (read more)

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