Develops polynomial-time algorithms achieving competitive ratios of ~1/14.85 (general) and 1/6.86 (unit costs) for submodular welfare maximization with budgets under random-order item arrival.
Submod- ular secretary problem and extensions.ACM Transactions on Algorithms, 9(4):32:1–32:23, 2013
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Submodular Welfare Maximization with Budget Constraints in the Random-Order Model
Develops polynomial-time algorithms achieving competitive ratios of ~1/14.85 (general) and 1/6.86 (unit costs) for submodular welfare maximization with budgets under random-order item arrival.