Research map / Learning theory and algorithms / Submodular and game algorithms
Submodular Maximization Through Barrier Functions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use barrier-function local search for constrained submodular maximization | AlgBarrier · Vertex cover on Facebook ego and EU Email exchange networks | objective value | Helped |
| Use barrier-function local search instead of the compared baselines | Video summarization on VSUMM · Video summarization | utility: up to 50% more | Helped |
| Use the heuristic barrier variant that permits solutions with aggregate knapsack cost above 1 | AlgHeuristic · Yelp location summarization | objective value | Helped |
| Use the heuristic barrier variant that permits solutions with aggregate knapsack cost above 1 | AlgHeuristic · Twitter text summarization with two knapsacks | objective value | Helped |
| Increase the number of knapsack constraints from one to two | Compared algorithms · Twitter text summarization | objective value | Hurt |
Closest papers by meaning
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- Online Two-Stage Submodular Maximization (NeurIPS 2025 · similarity 0.89)
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