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
Cynthia DworkMicrosoft ResearchVerified email at microsoft.com
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
Mallesh M. PaiRice UniversityVerified email at rice.edu
Shahin JabbariDrexel UniversityVerified email at drexel.edu
Moritz HardtMax Planck Institute for Intelligent SystemsVerified email at is.mpg.de
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
Vitaly FeldmanAppleVerified email at apple.com
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The Algorithmic Foundations of Differential Privacy C Dwork, A Roth Foundations and Trends® in Theoretical Computer Science 9 (3-4), 211-407, 2014	9518	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	1258	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	971	2018
A snapshot of the frontiers of fairness in machine learning A Chouldechova, A Roth Communications of the ACM 63 (5), 82-89, 2020	957*	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	908	2013
The ethical algorithm: The science of socially aware algorithm design M Kearns, A Roth Oxford University Press, 2019	615	2019
Fairness in learning: Classic and contextual bandits M Joseph, M Kearns, JH Morgenstern, A Roth Advances in Neural Information Processing Systems, 325-333, 2016	561	2016
Gaussian differential privacy J Dong, A Roth, WJ Su Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022	551	2022
Selling privacy at auction A Ghosh, A Roth Proceedings of the 12th ACM conference on Electronic commerce, 199-208, 2011	487	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	430	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	421	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	418	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	331	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	305	2010
Descent-to-delete: Gradient-based methods for machine unlearning S Neel, A Roth, S Sharifi-Malvajerdi Algorithmic Learning Theory, 931-962, 2021	279	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	271	2015
Fairness in reinforcement learning S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth International conference on machine learning, 1617-1626, 2017	258*	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	246	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	237	2010

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