arxivcs.DScs.AIcs.DM2026-07-07
Data-dependent Evaluations for Budgeted Submodular Maximization
Lejian Zhang, Xueyan Tang, Jing Tang
Submodular maximization is an important building block for developing algorithms in many areas such as machine learning and data mining. Due to the NP-hardness of the problem, analysis of submodular maximization algorithms typically provides pessimistic worst-case approximation f…