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Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
We study the problem of maximizing deep submodular functions (DSFs) [13, 3] subject to a matroid constraint. DSFs are an expressive class of submodular functions that include, as strict subfamilies, the facility location, weighted coverage, and sums of concave composed with modular functions. We use...
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| Veröffentlicht in: | Adv Neural Inf Process Syst |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6351064/ https://ncbi.nlm.nih.gov/pubmed/30705579 |
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