Trần Khánh Toàn

Distributionally Robust Fair Principal Components via Geodesic Descents

2022 · arXiv (Cornell University)

Principal component analysis is a simple yet useful dimensionality reduction technique in modern machine learning pipelines. In consequential domains such as college admission, healthcare and credit approval, it is imperative to take into account emerging …