Aaron Roth

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Michael KearnsProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Zhiwei Steven WuCarnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Seth NeelAsst Professor, Harvard UniversityAdresse e-mail validée de hbs.edu
Cynthia DworkMicrosoft ResearchAdresse e-mail validée de microsoft.com
Katrina LigettHebrew UniversityAdresse e-mail validée de mail.huji.ac.il
Jamie MorgensternUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityAdresse e-mail validée de ccs.neu.edu
Matthew JosephGoogleAdresse e-mail validée de google.com
Justin HsuCornell UniversityAdresse e-mail validée de justinhsu.net
Mallesh M. PaiRice UniversityAdresse e-mail validée de rice.edu
Moritz HardtDirector, Max Planck Institute for Intelligent SystemsAdresse e-mail validée de is.mpg.de
Christopher JungStanford UniversityAdresse e-mail validée de stanford.edu
Shahin JabbariDrexel UniversityAdresse e-mail validée de drexel.edu
Saeed Sharifi-MalvajerdiResearch Assistant Professor, Toyota Technological Institute at Chicago (TTIC)Adresse e-mail validée de ttic.edu
Anupam GuptaProfessor of Computer Science at Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Ryan RogersLinkedInAdresse e-mail validée de linkedin.com
Sampath KannanProfessor of Computer and Information Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Vitaly FeldmanApple ML ResearchAdresse e-mail validée de apple.com
Omer ReingoldStanford UniversityAdresse e-mail validée de stanford.edu
Andreas HaeberlenUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu

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Aaron Roth

Professor of Computer Science, University of Pennsylvania

Adresse e-mail validée de cis.upenn.edu - Page d'accueil

Differential Privacy Algorithmic Fairness Algorithmic Game Theory Learning Theory Uncertainty Quantification


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
The Algorithmic Foundations of Differential Privacy C Dwork, A Roth Foundations and Trends® in Theoretical Computer Science 9 (3-4), 211-407, 2014	5835	2014
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	827	2013
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	773	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	599	2018
A snapshot of the frontiers of fairness in machine learning A Chouldechova, A Roth Communications of the ACM 63 (5), 82-89, 2020	579*	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	412	2016
Selling privacy at auction A Ghosh, A Roth Proceedings of the 12th ACM conference on Electronic commerce, 199-208, 2011	407	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	357	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	347	2015
The ethical algorithm: The science of socially aware algorithm design M Kearns, A Roth Oxford University Press, 2019	319	2019
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	314	2014
Interactive privacy via the median mechanism A Roth, T Roughgarden Proceedings of the 42nd ACM symposium on Theory of computing, 765-774, 2010	300	2010
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	267	2017
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	245	2010
Gaussian differential privacy J Dong, A Roth, WJ Su Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022	228	2022
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	224	2015
Iterative constructions and private data release A Gupta, A Roth, J Ullman Theory of Cryptography (TCC), 2012	197	2012
Constrained non-monotone submodular maximization: Offline and secretary algorithms A Gupta, A Roth, G Schoenebeck, K Talwar Internet and Network Economics: 6th International Workshop, WINE 2010 …, 2010	194	2010
Fairness in reinforcement learning S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth International conference on machine learning, 1617-1626, 2017	182*	2017
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	173	2008

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