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Hieu Vu

2 accepted papers

2022

Distributionally Robust Fair Principal Components via Geodesic Descents

ICLR 2022poster

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 criteria such as the fairness and the robust…

Cited by 18SourcePDFScholar