Yongdai Kim

Subgroup fairness in clustering can be achieved efficiently without sacrificing performance, thanks to a novel covariance-based approach that reveals the hidden complexities of fairness gaps.

PReLU-TST not only achieves higher power in two-sample testing but also maintains nonparametric flexibility, challenging the limitations of traditional methods.

Fair clustering just got a whole lot faster: FMC achieves fairness without the computational bottleneck of sample-dependent parameters.