19 citations · 24 across the 2 of their papers we have counts for
3 papers
cs.DS2022★ 5 cited
Ranking with submodular functions on a budget
Guangyi Zhang, Nikolaj Tatti, Aristides Gionis
Submodular maximization has been the backbone of many important machine-learning problems, and has applications to viral marketing, diversification, sensor placement, and more. How…
cs.AI2020★ 19 cited
Diverse Rule Sets
Guangyi Zhang, Aristides Gionis
While machine-learning models are flourishing and transforming many aspects of everyday life, the inability of humans to understand complex models poses difficulties for these mode…
cs.DS2020
Maximizing diversity over clustered data
Guangyi Zhang, Aristides Gionis
Maximum diversity aims at selecting a diverse set of high-quality objects from a collection, which is a fundamental problem and has a wide range of applications, e.g., in Web searc…