Corpus ID: 207863272

Efficient Fair Principal Component Analysis

@article{Kamani2019EfficientFP,
  title={Efficient Fair Principal Component Analysis},
  author={Mohammad Mahdi Kamani and Farzin Haddadpour and R. Forsati and M. Mahdavi},
  journal={ArXiv},
  year={2019},
  volume={abs/1911.04931}
}
It has been shown that dimension reduction methods such as PCA may be inherently prone to unfairness and treat data from different sensitive groups such as race, color, sex, etc., unfairly. In pursuit of fairness-enhancing dimensionality reduction, using the notion of Pareto optimality, we propose an adaptive first-order algorithm to learn a subspace that preserves fairness, while slightly compromising the reconstruction loss. Theoretically, we provide sufficient conditions that the solution of… Expand
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