Research map / Optimization / Nonconvex and smooth optimization
Gradient Methods for Submodular Maximization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use stochastic projected gradient or mirror ascent instead of the Frank-Wolfe variant | MovieLens facility location and concave-over-modular objectives · MovieLens | utility | Helped |
| Use stochastic gradient or mirror ascent with batch size B=20 | MovieLens concave-over-modular objective · MovieLens | utility | No clear effect |
| Increase the Frank-Wolfe batch size relative to stochastic gradient methods | Frank-Wolfe variant · MovieLens facility location and concave-over-modular objectives | utility | Helped |
| Use stochastic projected gradient or mirror ascent rather than batch-mode greedy | MovieLens facility location objective · MovieLens | computational effort at comparable utility | No clear effect |
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