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Samuel Yeom

I am a PhD student at Carnegie Mellon University studying fairness and privacy issues with machine learning.

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Proxy-Based Approach to Fair Machine Learning

Samuel Yeom on machine learning, linear regression, fairness, proxy, explainability | 03 Dec 2018

We explain the motivation behind our 2018 NeurIPS paper, "Hunting for Discriminatory Proxies in Linear Regression Models".…

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