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09/23/2021
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold
This paper defines fair principal component analysis (PCA) as minimizing...
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03/31/2020
Covariance-Robust Dynamic Watermarking
Attack detection and mitigation strategies for cyberphysical systems (CP...
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10/18/2019
Optimization Hierarchy for Fair Statistical Decision Problems
Data-driven decision-making has drawn scrutiny from policy makers due to...
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10/09/2018
Average Margin Regularization for Classifiers
Adversarial robustness has become an important research topic given empi...
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02/11/2018
Convex Formulations for Fair Principal Component Analysis
Though there is a growing body of literature on fairness for supervised ...
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10/16/2017
