2 papers
cs.LG2026
Alternatives to the Laplacian for Scalable Spectral Clustering with Group Fairness Constraints
Iván Ojeda-Ruiz, Young Ju Lee, Malcolm Dickens +1
Recent research has focused on mitigating algorithmic bias in clustering by incorporating fairness constraints into algorithmic design. Notions such as disparate impact, community…
cs.LG2025
FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance
Minh Phu Vuong, Young-Ju Lee, Iván Ojeda-Ruiz +1
Due to the growing concern about unsavory behaviors of machine learning models toward certain demographic groups, the notion of 'fairness' has recently drawn much attention from th…