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Aaron Roth
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Zitiert von
Jahr
The Algorithmic Foundations of Differential Privacy
C Dwork, A Roth
Foundations and Trends® in Theoretical Computer Science 9 (3-4), 211-407, 2014
90862014
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
12162021
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
9442018
A snapshot of the frontiers of fairness in machine learning
A Chouldechova, A Roth
Communications of the ACM 63 (5), 82-89, 2020
914*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
9032013
The ethical algorithm: The science of socially aware algorithm design
M Kearns, A Roth
Oxford University Press, 2019
5832019
Fairness in learning: Classic and contextual bandits
M Joseph, M Kearns, JH Morgenstern, A Roth
Advances in Neural Information Processing Systems, 325-333, 2016
5482016
Gaussian differential privacy
J Dong, A Roth, WJ Su
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
5032022
Selling privacy at auction
A Ghosh, A Roth
Proceedings of the 12th ACM conference on Electronic commerce, 199-208, 2011
4852011
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
4232015
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
4082014
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
4052015
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
3982017
Interactive privacy via the median mechanism
A Roth, T Roughgarden
Proceedings of the 42nd ACM symposium on Theory of computing, 765-774, 2010
3272010
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
2962010
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
2652015
Descent-to-delete: Gradient-based methods for machine unlearning
S Neel, A Roth, S Sharifi-Malvajerdi
Algorithmic Learning Theory, 931-962, 2021
2562021
Fairness in reinforcement learning
S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth
International conference on machine learning, 1617-1626, 2017
250*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
2342019
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
2322010
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