51 citations · 168 across the 24 of their papers we have counts for
3 papers · 1 filter
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms
Yanhao Wang, Michael Mathioudakis, Jia Li +1
Diversity maximization aims to select a diverse and representative subset of items from a large dataset. It is a fundamental optimization task that finds applications in data summa…
Streaming Algorithms for Diversity Maximization with Fairness Constraints
Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
Diversity maximization is a fundamental problem with wide applications in data summarization, web search, and recommender systems. Given a set of elements, it asks to selec…
Fair and Representative Subset Selection from Data Streams
Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
We study the problem of extracting a small subset of representative items from a large data stream. In many data mining and machine learning applications such as social network ana…