49 citations · 49 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 49 cited
LiFT: A Scalable Framework for Measuring Fairness in ML Applications
Sriram Vasudevan, Krishnaram Kenthapadi
Many internet applications are powered by machine learned models, which are usually trained on labeled datasets obtained through either implicit / explicit user feedback signals or…
stat.AP2020
Evaluating Fairness Using Permutation Tests
Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu +2
Machine learning models are central to people's lives and impact society in ways as fundamental as determining how people access information. The gravity of these models imparts a…