37 citations · 93 across the 25 of their papers we have counts for
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cs.LG2019★ 8 cited
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data
Gal Yona, Amirata Ghorbani, James Zou
A learning algorithm trained on a dataset is revealed to have poor performance on some subpopulation at test time. Where should the responsibility for this lay? It can be a…
cs.LG2019★ 5 cited
Preference-Informed Fairness
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum +1
We study notions of fairness in decision-making systems when individuals have diverse preferences over the possible outcomes of the decisions. Our starting point is the seminal wor…