22 citations · 28 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 22 cited
Measuring Recommender System Effects with Simulated Users
Sirui Yao, Yoni Halpern, Nithum Thain +6
Imagine a food recommender system -- how would we check if it is \emph{causing} and fostering unhealthy eating habits or merely reflecting users' interests? How much of a user's ex…
cs.LG2020★ 6 cited
Graph-Aware Transformer: Is Attention All Graphs Need?
Sanghyun Yoo, Young-Seok Kim, Kang Hyun Lee +4
Graphs are the natural data structure to represent relational and structural information in many domains. To cover the broad range of graph-data applications including graph classi…
cs.LG2020
Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti, Alex Beutel, Jilin Chen +5
Much of the previous machine learning (ML) fairness literature assumes that protected features such as race and sex are present in the dataset, and relies upon them to mitigate fai…