2 citations · 8 across the 20 of their papers we have counts for
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Non-monotone Sequential Submodular Maximization
Shaojie Tang, Jing Yuan
In this paper, we study a fundamental problem in submodular optimization, which is called sequential submodular maximization. Specifically, we aim to select and rank a group of …
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints
Shaojie Tang, Jing Yuan
Machine learning algorithms play an important role in a variety of important decision-making processes, including targeted advertisement displays, home loan approvals, and criminal…
Achieving Long-term Fairness in Submodular Maximization through Randomization
Shaojie Tang, Jing Yuan, Twumasi Mensah-Boateng
Submodular function optimization has numerous applications in machine learning and data analysis, including data summarization which aims to identify a concise and diverse set of d…
Group Fairness in Non-monotone Submodular Maximization
Jing Yuan, Shaojie Tang
Maximizing a submodular function has a wide range of applications in machine learning and data mining. One such application is data summarization whose goal is to select a small se…