Research map / Learning theory and algorithms / Submodular and game algorithms
Robust Influence Maximization for Hyperparametric Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use HIRO instead of Random Seed, Top k Degree, Random Greedy, or LUGreedy | Robust influence maximization · Synthetic graph models | robust influence | Helped |
| Increase the number of sampled influence functions (ablation) | HIRO · Synthetic graph models | robust influence | No clear effect |
| Increase the number of HIRO iterations (ablation) | HIRO · Synthetic graph models | convergence | Helped |
| Increase the number of HIRO iterations (ablation) | HIRO · Watts-Strogatz small-world graphs | convergence | Mixed |
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