Jamie Morgenstern

Datasheets for datasets

Timnit Gebru, Jamie Morgenstern, Briana Vecchione et al. · Communications of the ACM · 2021 · 334 citations · Full text

Computing, Computer Science, Data Science +14

A Convex Framework for Fair Regression

Richard A. Berk, Hoda Heidari, Shahin Jabbari et al. · arXiv (Cornell University) · 2017 · 194 citations · Full text

Computing, Data Science, Decision Theory +13

Fairness in Learning: Classic and Contextual Bandits

Matthew Joseph, Michael Kearns, Jamie Morgenstern et al. · arXiv (Cornell University) · 2016 · 192 citations · Full text

Computing, Computer Science, Decision Sciences +14

FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning

Ángel Alexander Cabrera, Will Epperson, Fred Hohman et al. · arXiv (Cornell University) · 2019 · 184 citations · Full text

Computing, Computer Science, Data Science +16

Predictive Inequity in Object Detection

Benjamin Wilson, Judy Hoffman, Jamie Morgenstern · arXiv (Cornell University) · 2019 · 157 citations · Full text

Computing, Computer Science, Computer Vision +12