Combinatorial Prophet Inequalities
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Abstract (arXiv)
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 Omega(√n) lower bound by Bateni, Hajiaghayi, and Zadimoghaddam citeBHZ13-submodular-secretaryoriginal 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 for non-monotone submodular functions.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Nov 2016.
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Citing papers per year: 2022: 3; 2023: 1.
4 papers.
- 2022Bandit Algorithms for Prophet Inequality and Pandora's Boxcited by 13
- 2023Semi-Bandit Learning for Monotone Stochastic Optimizationcited by 8
- 2022Streaming Adaptive Submodular Maximizationcited by 2
- 2022Pairwise independent correlation gapcited by 1
- 2023Semi-Bandit Learning for Monotone Stochastic Optimization24 Dec 2023
- 2022Bandit Algorithms for Prophet Inequality and Pandora's Box16 Nov 2022
- 2022Pairwise independent correlation gap18 Sep 2022
- 2022Streaming Adaptive Submodular Maximization17 Aug 2022