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Aaron Roth
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The Algorithmic Foundations of Differential Privacy
C Dwork, A Roth
Foundations and Trends® in Theoretical Computer Science 9 (3-4), 211-407, 2014
58612014
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
8282013
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
7732021
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
6022018
A snapshot of the frontiers of fairness in machine learning
A Chouldechova, A Roth
Communications of the ACM 63 (5), 82-89, 2020
583*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
4122016
Selling privacy at auction
A Ghosh, A Roth
Proceedings of the 12th ACM conference on Electronic commerce, 199-208, 2011
4082011
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
3572015
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
3482015
The ethical algorithm: The science of socially aware algorithm design
M Kearns, A Roth
Oxford University Press, 2019
3202019
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
3172014
Interactive privacy via the median mechanism
A Roth, T Roughgarden
Proceedings of the 42nd ACM symposium on Theory of computing, 765-774, 2010
3002010
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
2672017
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
2452010
Gaussian differential privacy
J Dong, A Roth, WJ Su
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
2292022
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
2242015
Iterative constructions and private data release
A Gupta, A Roth, J Ullman
Theory of Cryptography (TCC), 2012
1972012
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
1942010
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
1742008
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