Extending curvature to all submodular functions yields the first multiplicative greedy approximation guarantees that apply even when the function takes negative values.
Efficient deterministic algorithms for maximizing symmetric submodular functions.Theoretical Computer Science, 1046:115312
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Curvature Beyond Positivity: Greedy Guarantees for Arbitrary Submodular Functions
Extending curvature to all submodular functions yields the first multiplicative greedy approximation guarantees that apply even when the function takes negative values.