2 papers
cs.DS2026
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, anal…
cs.DS2024
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Shuang Cui, Kai Han, Jing Tang +3
Submodular maximization has found extensive applications in various domains within the field of artificial intelligence, including but not limited to machine learning, computer vis…