2017 · 37 citations · 32 references
Natural SciencesComputer ScienceMathematicsAlgorithmsCombinatoricsOptimizationApproximation AlgorithmsCombinatorial OptimizationConstrained OptimizationOptimization TheoryFeasibility ProblemsMatroid ValuationsObjective Function FormulationSecretary ProblemSubmodular OptimizationSubmodular ValuationsSubmodularity In Matroids
We introduce a novel framework of Prophet Inequalities for combinatorial valuation functions. For a (non-monotone) submodular objective function over an arbitrary matroid feasibility constraint, we give an O(1)-competitive algorithm. For a monotone subadditive objective function over an arbitrary downward- closed feasibility constraint, we give an O(log n log2 r)- competitive algorithm (where r is the cardinality of the largest feasible subset). Inspired by the proof of our subadditive prophet inequality, we also obtain an O(log n · log2 r)-competitive algorithm for the Secretary Problem with a monotone subadditive objective function subject to an arbitrary downward-closed feasibility constraint. Even for the special case of a cardinality feasibility constraint, our algorithm circumvents an lower bound by Bateni, Hajiaghayi, and Zadimoghaddam [10] in a restricted query model. En route to our submodular prophet inequality, we prove a technical result of independent interest: we show a variant of the Correlation Gap Lemma [14, 1] for nonmonotone submodular functions.
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Maximizing Non-monotone Submodular Functions
Uriel Feige, Vahab Mirrokni, J. Vondrák · SIAM Journal on Computing · 2011 · 473 citations
Streaming submodular maximization
Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi et al. · 2014 · 306 citations