Statistics
Publications
11
Citations
689
H-Index
11
Active since
2016
Matthew Joseph is an author at University of Pennsylvania specializing in computing, fairness in machine learning, and algorithms.
Publications per year
2016–2020
11
11
A Convex Framework for Fair Regression
Richard A. Berk, Hoda Heidari, Shahin Jabbari et al. · arXiv (Cornell University) · 2017 · 194 citations · Full text
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph, Michael Kearns, Jamie Morgenstern et al. · arXiv (Cornell University) · 2016 · 192 citations · Full text
Fairness in learning: classic and contextual bandits
Matthew Joseph, Michael Kearns, Jamie Morgenstern et al. · Neural Information Processing Systems · 2016 · 121 citations
Rawlsian Fairness for Machine Learning.
Matthew Joseph, Michael Kearns, Jamie Morgenstern et al. · arXiv (Cornell University) · 2016 · 50 citations · Full text
Local Differential Privacy for Evolving Data
Matthew Joseph, Aaron Roth, Jonathan Ullman et al. · Journal of Privacy and Confidentiality · 2020 · 30 citations · Full text
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