Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint Supplementary Material

Neural Information Processing Systems 

In this appendix, we include all the material missing from the main paper. Moreover, we restate a key result which connects random sampling and submodular maximization. The original version of the theorem was due to Feige et al. In fact, in what follows we exclusively use S and O for their final versions. Before stating the next lemma, let us introduce some notation for the sake of readability.

Similar Docs  Excel Report  more

TitleSimilaritySource
None found