Spectral Algorithms for Computing Fair Support Vector Machines. - Matt Olfat; Anil Aswani (AISTATS, 2018)

Convex Formulations for Fair Principal Component Analysis. - Matt Olfat; Anil Aswani (AAAI, 2019)

Average Margin Regularization for Classifiers. - Matt Olfat; Anil Aswani (CDC, 2020)

Flexible Regularization Approaches for Fairness in Deep Learning. - Matt Olfat; Yonatan Mintz (CDC, 2020)

Covariance-Robust Dynamic Watermarking. - Matt Olfat; Stephen Sloan; Pedro Hespanhol; Matthew Porter; Ram Vasudevan; Anil Aswani (CDC, 2020)

Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. - Junghyun Lee; Gwangsu Kim; Matt Olfat; Mark Hasegawa-Johnson; Chang D. Yoo (CoRR, 2021)