Aaron Roth

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Michael KearnsProfessor of Computer Science, University of PennsylvaniaPatvirtintas el. paštas cis.upenn.edu
Zhiwei Steven WuCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Seth NeelGooglePatvirtintas el. paštas google.com
Jamie MorgensternUniversity of WashingtonPatvirtintas el. paštas cs.washington.edu
Katrina LigettHebrew UniversityPatvirtintas el. paštas mail.huji.ac.il
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityPatvirtintas el. paštas ccs.neu.edu
Matthew JosephGooglePatvirtintas el. paštas google.com
Christopher JungMetaPatvirtintas el. paštas stanford.edu
Justin HsuCornell UniversityPatvirtintas el. paštas justinhsu.net
Mallesh M. PaiRice UniversityPatvirtintas el. paštas rice.edu
Shahin JabbariDrexel UniversityPatvirtintas el. paštas drexel.edu
Moritz HardtMax Planck Institute for Intelligent SystemsPatvirtintas el. paštas is.mpg.de
Saeed Sharifi-MalvajerdiResearch Assistant Professor, Toyota Technological Institute at Chicago (TTIC)Patvirtintas el. paštas ttic.edu
Sampath KannanProfessor, Computer and Information Science, University of PennsylvaniaPatvirtintas el. paštas seas.upenn.edu
Omer ReingoldStanford UniversityPatvirtintas el. paštas stanford.edu
Anupam GuptaProfessor of Computer Science at New York UniversityPatvirtintas el. paštas nyu.edu
Ryan RogersLinkedInPatvirtintas el. paštas linkedin.com
Bo WaggonerUniversity of Colorado, BoulderPatvirtintas el. paštas colorado.edu
Vitaly FeldmanApplePatvirtintas el. paštas apple.com
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoPatvirtintas el. paštas ttic.edu

Stebėti

Aaron Roth

Professor of Computer Science, University of Pennsylvania

Patvirtintas el. paštas cis.upenn.edu - Pagrindinis puslapis

Differential Privacy Algorithmic Fairness Algorithmic Game Theory Learning Theory Uncertainty Quantification


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
The Algorithmic Foundations of Differential Privacy C Dwork, A Roth Foundations and Trends® in Theoretical Computer Science 9 (3-4), 211-407, 2014	9525	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	1257	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	982	2018
A snapshot of the frontiers of fairness in machine learning A Chouldechova, A Roth Communications of the ACM 63 (5), 82-89, 2020	961*	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	915	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	563	2016
Gaussian differential privacy J Dong, A Roth, WJ Su Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022	559	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	420	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	307	2010
Descent-to-delete: Gradient-based methods for machine unlearning S Neel, A Roth, S Sharifi-Malvajerdi Algorithmic Learning Theory, 931-962, 2021	283	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	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	248	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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