Aaron Roth

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Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Seth NeelGoogleVerified email at google.com
Jamie MorgensternUniversity of WashingtonVerified email at cs.washington.edu
Katrina LigettHebrew UniversityVerified email at mail.huji.ac.il
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Matthew JosephGoogleVerified email at google.com
Christopher JungMetaVerified email at stanford.edu
Justin HsuCornell UniversityVerified email at justinhsu.net
Moritz HardtMax Planck Institute for Intelligent SystemsVerified email at is.mpg.de
Mallesh M. PaiRice UniversityVerified email at rice.edu
Shahin JabbariDrexel UniversityVerified email at drexel.edu
Saeed Sharifi-MalvajerdiResearch Assistant Professor, Toyota Technological Institute at Chicago (TTIC)Verified email at ttic.edu
Sampath KannanProfessor, Computer and Information Science, University of PennsylvaniaVerified email at seas.upenn.edu
Omer ReingoldStanford UniversityVerified email at stanford.edu
Anupam GuptaProfessor of Computer Science at New York UniversityVerified email at nyu.edu
Ryan RogersLinkedInVerified email at linkedin.com
Bo WaggonerUniversity of Colorado, BoulderVerified email at colorado.edu
Georgy NoarovDepartment of Mathematics, Princeton UniversityVerified email at princeton.edu
Jinshuo DongNorthwestern UniversityVerified email at northwestern.edu

Aaron Roth

Professor of Computer Science, University of Pennsylvania

Verified email at cis.upenn.edu - Homepage

Differential Privacy Algorithmic Fairness Algorithmic Game Theory Learning Theory Uncertainty Quantification


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The Algorithmic Foundations of Differential Privacy C Dwork, A Roth Foundations and Trends® in Theoretical Computer Science 9 (3-4), 211-407, 2014	9752	2014
Fairness in criminal justice risk assessments: The state of the art R Berk, H Heidari, S Jabbari, M Kearns, A Roth Sociological Methods & Research 50 (1), 3-44, 2021	1281	2021
Preventing fairness gerrymandering: Auditing and learning for subgroup fairness M Kearns, S Neel, A Roth, ZS Wu International conference on machine learning, 2564-2572, 2018	997	2018
A snapshot of the frontiers of fairness in machine learning A Chouldechova, A Roth Communications of the ACM 63 (5), 82-89, 2020	983*	2020
A learning theory approach to non-interactive database privacy A Blum, K Ligett, A Roth Journal of the ACM (JACM) 60 (2), 12:1-12:25, 2013	919	2013
The ethical algorithm: The science of socially aware algorithm design M Kearns, A Roth Oxford University Press, 2019	631	2019
Gaussian differential privacy J Dong, A Roth, WJ Su Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022	572	2022
Fairness in learning: Classic and contextual bandits M Joseph, M Kearns, JH Morgenstern, A Roth Advances in Neural Information Processing Systems, 325-333, 2016	571	2016
Selling privacy at auction A Ghosh, A Roth Proceedings of the 12th ACM conference on Electronic commerce, 199-208, 2011	494	2011
Preserving statistical validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, AL Roth Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015	436	2015
A convex framework for fair regression R Berk, H Heidari, S Jabbari, M Joseph, M Kearns, J Morgenstern, S Neel, ... arXiv preprint arXiv:1706.02409, 2017	425	2017
Differential privacy: An economic method for choosing epsilon J Hsu, M Gaboardi, A Haeberlen, S Khanna, A Narayan, BC Pierce, ... 2014 IEEE 27th Computer Security Foundations Symposium, 398-410, 2014	419	2014
The reusable holdout: Preserving validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth Science 349 (6248), 636-638, 2015	409	2015
Interactive privacy via the median mechanism A Roth, T Roughgarden Proceedings of the 42nd ACM symposium on Theory of computing, 765-774, 2010	333	2010
Differentially private combinatorial optimization A Gupta, K Ligett, F McSherry, A Roth, K Talwar Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete …, 2010	308	2010
Descent-to-delete: Gradient-based methods for machine unlearning S Neel, A Roth, S Sharifi-Malvajerdi Algorithmic Learning Theory, 931-962, 2021	297	2021
Generalization in adaptive data analysis and holdout reuse C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth Advances in neural information processing systems 28, 2015	275	2015
Fairness in reinforcement learning S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth International conference on machine learning, 1617-1626, 2017	262*	2017
An empirical study of rich subgroup fairness for machine learning M Kearns, S Neel, A Roth, ZS Wu Proceedings of the conference on fairness, accountability, and transparency …, 2019	250	2019
Constrained non-monotone submodular maximization: Offline and secretary algorithms A Gupta, A Roth, G Schoenebeck, K Talwar International Workshop on Internet and Network Economics, 246-257, 2010	240	2010

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