Research map / Learning theory and algorithms / Submodular and game algorithms
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| decrease epsilon from 0.2 to 0.02 (ablation) | TwinGreedyFast · BA graph monitoring, h=5, k=50 | utility (x10^5): 0.145 -> 0.155 | Helped |
| decrease epsilon from 0.02 to 0.005 (ablation) | TwinGreedyFast · BA graph monitoring, h=5 | utility: 0.155 -> 0.155 (k=50) | No clear effect |
| TwinGreedyFast versus SampleGreedy, RRG and Fantom | TwinGreedyFast · social network monitoring and viral marketing | running time and queries | Helped |
| TwinGreedyFast versus Fantom on solution quality | TwinGreedyFast · social network monitoring and viral marketing | utility | Hurt |
| TwinGreedyFast versus SampleGreedy and RRG on solution quality | TwinGreedyFast · viral marketing (Flixster, Epinions) | utility | Helped |
| TwinGreedyFast versus all baselines on ER graph | TwinGreedyFast · ER random graph monitoring | utility | No clear effect |
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