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.
Budget-feasible mechanism design for non- monotone submodular objectives: Offline and online.Mathematics of Operations Research, 47(3):2286– 2309, 2022
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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.