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Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint
2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
unpublished
In this work, we study the problem of monotone non-submodular maximization with partition matroid constraint. Although a generalization of this problem has been studied in literature, our work focuses on leveraging properties of partition matroid constraint to (1) propose algorithms with theoretical bound and efficient query complexity; and (2) provide better analysis on theoretical performance guarantee of some existing techniques. We further investigate those algorithms' performance in two
doi:10.24963/ijcai.2022/662
fatcat:rhbc7mlqa5d37jvuwxypxqqhvi