Aaron Roth

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Michael KearnsProfessor of Computer Science, University of PennsylvaniaEmail yang diverifikasi di cis.upenn.edu
Zhiwei Steven WuCarnegie Mellon UniversityEmail yang diverifikasi di andrew.cmu.edu
Seth NeelGoogleEmail yang diverifikasi di google.com
Cynthia DworkMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Jamie MorgensternUniversity of WashingtonEmail yang diverifikasi di cs.washington.edu
Katrina LigettHebrew UniversityEmail yang diverifikasi di mail.huji.ac.il
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityEmail yang diverifikasi di ccs.neu.edu
Matthew JosephGoogleEmail yang diverifikasi di google.com
Christopher JungMetaEmail yang diverifikasi di stanford.edu
Justin HsuCornell UniversityEmail yang diverifikasi di justinhsu.net
Mallesh M. PaiRice UniversityEmail yang diverifikasi di rice.edu
Shahin JabbariDrexel UniversityEmail yang diverifikasi di drexel.edu
Moritz HardtMax Planck Institute for Intelligent SystemsEmail yang diverifikasi di is.mpg.de
Saeed Sharifi-MalvajerdiResearch Assistant Professor, Toyota Technological Institute at Chicago (TTIC)Email yang diverifikasi di ttic.edu
Sampath KannanProfessor, Computer and Information Science, University of PennsylvaniaEmail yang diverifikasi di seas.upenn.edu
Omer ReingoldStanford UniversityEmail yang diverifikasi di stanford.edu
Anupam GuptaProfessor of Computer Science at New York UniversityEmail yang diverifikasi di nyu.edu
Ryan RogersLinkedInEmail yang diverifikasi di linkedin.com
Bo WaggonerUniversity of Colorado, BoulderEmail yang diverifikasi di colorado.edu
Vitaly FeldmanAppleEmail yang diverifikasi di apple.com

Ikuti

Aaron Roth

Professor of Computer Science, University of Pennsylvania

Email yang diverifikasi di cis.upenn.edu - Beranda

Differential Privacy Algorithmic Fairness Algorithmic Game Theory Learning Theory Uncertainty Quantification


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
The Algorithmic Foundations of Differential Privacy C Dwork, A Roth Foundations and Trends® in Theoretical Computer Science 9 (3-4), 211-407, 2014	9493	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	1256	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	980	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	914	2013
The ethical algorithm: The science of socially aware algorithm design M Kearns, A Roth Oxford University Press, 2019	613	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	563	2016
Gaussian differential privacy J Dong, A Roth, WJ Su Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022	555	2022
Selling privacy at auction A Ghosh, A Roth Proceedings of the 12th ACM conference on Electronic commerce, 199-208, 2011	490	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	435	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	419	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	415	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	408	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	306	2010
Descent-to-delete: Gradient-based methods for machine unlearning S Neel, A Roth, S Sharifi-Malvajerdi Algorithmic Learning Theory, 931-962, 2021	280	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	274	2015
Fairness in reinforcement learning S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth International conference on machine learning, 1617-1626, 2017	257*	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	238	2010

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