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The Ethereal
On conditional parity as a notion of non-discrimination in machine learning
June 26, 2017 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Ya'acov Ritov, Yuekai Sun, Ruofei Zhao
arXiv ID
1706.08519
Category
stat.ML: Machine Learning (Stat)
Cross-listed
cs.CY,
cs.LG
Citations
40
Venue
arXiv.org
Last Checked
6 months ago
Abstract
We identify conditional parity as a general notion of non-discrimination in machine learning. In fact, several recently proposed notions of non-discrimination, including a few counterfactual notions, are instances of conditional parity. We show that conditional parity is amenable to statistical analysis by studying randomization as a general mechanism for achieving conditional parity and a kernel-based test of conditional parity.
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