MJ
Matthew Joseph
cs.LGcs.CRstat.MLcs.DSmath.OC
On Valency
published · living versionsW_9239y33w·v1 · currentpublished
Fairness in Learning: Classic and Contextual Bandits
with Michael Kearns, Jamie Morgenstern, Aaron Roth
1 version
Preprints & journals
14 papers in the corpus · 2016–2026Missing Mass for Differentially Private Domain Discovery2603.14016v1 · Travis Dick, Matthew Joseph, Vinod Raman2026 · 0 citationsarXiv
Some Constructions of Private, Efficient, and Optimal $K$-Norm and Elliptic Gaussian Noise2309.15790v3 · Matthew Joseph, Alexander Yu2023 · 0 citationsarXiv
Shuffle Private Stochastic Convex Optimization2106.09805v2 · Albert Cheu, Matthew Joseph, Jieming Mao et al.2021 · 6 citationsarXiv
Differentially Private Quantiles2102.08244v3 · Jennifer Gillenwater, Matthew Joseph, Alex Kulesza2021 · 2 citationsarXiv
Connecting Robust Shuffle Privacy and Pan-Privacy2004.09481v4 · Victor Balcer, Albert Cheu, Matthew Joseph et al.2020 · 31 citationsarXiv
Pan-Private Uniformity Testing1911.01452v3 · Kareem Amin, Matthew Joseph, Jieming Mao2019 · 15 citationsarXiv
The Role of Interactivity in Local Differential Privacy1904.03564v2 · Matthew Joseph, Jieming Mao, Seth Neel et al.2019 · 52 citationsarXiv
Exponential Separations in Local Differential Privacy1907.00813v3 · Matthew Joseph, Jieming Mao, Aaron Roth2019 · 18 citationsarXiv
Locally Private Gaussian Estimation1811.08382v2 · Matthew Joseph, Janardhan Kulkarni, Jieming Mao et al.2018 · 17 citationsarXiv
Local Differential Privacy for Evolving Data1802.07128v3 · Matthew Joseph, Aaron Roth, Jonathan Ullman et al.2018 · 68 citationsarXiv
Fairness in Reinforcement Learning1611.03071v4 · Shahin Jabbari, Matthew Joseph, Michael Kearns et al.2016 · 7 citationsarXiv
Fair Algorithms for Infinite and Contextual Bandits1610.09559v4 · Matthew Joseph, Michael Kearns, Jamie Morgenstern et al.2016 · 13 citationsarXiv
A Convex Framework for Fair Regression1706.02409v1 · Richard Berk, Hoda Heidari, Shahin Jabbari et al.2017 · 190 citationsarXiv
Fairness in Learning: Classic and Contextual Bandits1605.07139v2 · Matthew Joseph, Michael Kearns, Jamie Morgenstern et al.2016 · 297 citationsarXivon Valency
Career total: 24 works. 14 are in this corpus.
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