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 NeelAsst Professor, Harvard UniversityVerified email at hbs.edu
Cynthia DworkMicrosoft ResearchVerified email at microsoft.com
Katrina LigettHebrew UniversityVerified email at mail.huji.ac.il
Jamie MorgensternUniversity of WashingtonVerified email at cs.washington.edu
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Matthew JosephGoogleVerified email at google.com
Christopher JungStanford UniversityVerified email at stanford.edu
Justin HsuCornell UniversityVerified email at justinhsu.net
Mallesh M. PaiRice UniversityVerified email at rice.edu
Moritz HardtMax Planck Institute for Intelligent SystemsVerified email at is.mpg.de
Shahin JabbariDrexel UniversityVerified email at drexel.edu
Saeed Sharifi-MalvajerdiResearch Assistant Professor, Toyota Technological Institute at Chicago (TTIC)Verified email at ttic.edu
Anupam GuptaProfessor of Computer Science at Carnegie Mellon UniversityVerified email at cs.cmu.edu
Sampath KannanProfessor of Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
Omer ReingoldStanford UniversityVerified email at stanford.edu
Ryan RogersLinkedInVerified email at linkedin.com
Vitaly FeldmanApple ML ResearchVerified email at apple.com
Jinshuo DongUniversity of PennsylvaniaVerified email at sas.upenn.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	7069	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	933	2021
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	855	2013
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	730	2018
A snapshot of the frontiers of fairness in machine learning A Chouldechova, A Roth Communications of the ACM 63 (5), 82-89, 2020	712*	2020
Fairness in learning: Classic and contextual bandits M Joseph, M Kearns, JH Morgenstern, A Roth Advances in Neural Information Processing Systems, 325-333, 2016	470	2016
The ethical algorithm: The science of socially aware algorithm design M Kearns, A Roth Oxford University Press, 2019	445	2019
Selling privacy at auction A Ghosh, A Roth Proceedings of the 12th ACM conference on Electronic commerce, 199-208, 2011	440	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	389	2015
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	371	2015
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	362	2014
Gaussian differential privacy J Dong, A Roth, WJ Su arXiv preprint arXiv:1905.02383, 2019	319	2019
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	319	2017
Interactive privacy via the median mechanism A Roth, T Roughgarden Proceedings of the 42nd ACM symposium on Theory of computing, 765-774, 2010	302	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	265	2010
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	242	2015
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	214	2010
Fairness in reinforcement learning S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth International conference on machine learning, 1617-1626, 2017	211*	2017
Iterative constructions and private data release A Gupta, A Roth, J Ullman Theory of Cryptography (TCC), 2012	209	2012
Regret minimization and the price of total anarchy A Blum, MT Hajiaghayi, K Ligett, A Roth Proceedings of the 40th annual ACM symposium on Theory of computing, 373-382, 2008	187	2008

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