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papersSEP 10 04:00 UTC

Sharp Barrier Found for Consistent Submodular Maximization

A new paper proves a hardness limit for consistent submodular maximization, where an algorithm keeps at most k elements while the ground set grows over time. It shows that beating the 2-√2 approximation ratio would force either exponentially many queries or recourse that is linear in the number of arrivals. The result sets a boundary on how much solution quality and stability can be improved at once under a monotone submodular objective.

approximation ratioconsistent submodular maximizationhardness of approximationmonotone submodular objectiveonline algorithmssubmodular maximization

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGA Sharp Barrier for Consistent Submodular Maximization: Any Improvement over $2-\sqrt{2}$ Entails Exponential Queries or Linear Recourse ↗SEP 10 04:00 UTC

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