New data-dependent upper bounds for budgeted submodular maximization that dominate OPT and empirically tighten optimality certificates on real datasets.
Submodular feature selection for partial label learning
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Data-dependent Evaluations for Budgeted Submodular Maximization
New data-dependent upper bounds for budgeted submodular maximization that dominate OPT and empirically tighten optimality certificates on real datasets.