Ryan Rogers
Title
Cited by
Cited by
Year
Differentially private chi-squared hypothesis testing: Goodness of fit and independence testing
M Gaboardi, H Lim, R Rogers, S Vadhan
International conference on machine learning, 2111-2120, 2016
742016
Max-information, differential privacy, and post-selection hypothesis testing
R Rogers, A Roth, A Smith, O Thakkar
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
512016
Protection against reconstruction and its applications in private federated learning
A Bhowmick, J Duchi, J Freudiger, G Kapoor, R Rogers
arXiv preprint arXiv:1812.00984, 2018
442018
Psi
M Gaboardi, J Honaker, G King, J Murtagh, K Nissim, J Ullman, S Vadhan, ...
arXiv preprint arXiv:1609.04340, 2016
432016
Privacy odometers and filters: Pay-as-you-go composition
RM Rogers, A Roth, J Ullman, S Vadhan
Advances in Neural Information Processing Systems, 1921-1929, 2016
362016
Asymptotically truthful equilibrium selection in large congestion games
RM Rogers, A Roth
Proceedings of the fifteenth ACM conference on Economics and computation …, 2014
312014
Do prices coordinate markets?
J Hsu, J Morgenstern, R Rogers, A Roth, R Vohra
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
272016
Lower bounds for locally private estimation via communication complexity
J Duchi, R Rogers
arXiv preprint arXiv:1902.00582, 2019
262019
Local private hypothesis testing: Chi-square tests
M Gaboardi, R Rogers
International Conference on Machine Learning, 1626-1635, 2018
232018
Learning with Privacy at Scale
DP Team
Apple Machine Learning Journal 1 (8), 2017
20*2017
Inducing approximately optimal flow using truthful mediators
R Rogers, A Roth, J Ullman, ZS Wu
Proceedings of the sixteenth ACM conference on Economics and computation …, 2015
202015
A new class of private chi-square tests
D Kifer, R Rogers
arXiv preprint arXiv:1610.07662, 2016
172016
Locally Private Mean Estimation: -test and Tight Confidence Intervals
M Gaboardi, R Rogers, O Sheffet
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
142019
A new class of private chi-square hypothesis tests
R Rogers, D Kifer
Artificial Intelligence and Statistics, 991-1000, 2017
122017
Private pareto optimal exchange
S Kannan, J Morgenstern, R Rogers, A Roth
ACM Transactions on Economics and Computation (TEAC) 6 (3-4), 1-25, 2018
112018
Learning from rational behavior: Predicting solutions to unknown linear programs
S Jabbari, RM Rogers, A Roth, SZ Wu
Advances in Neural Information Processing Systems, 1570-1578, 2016
92016
Practical differentially private top-k selection with pay-what-you-get composition
D Durfee, RM Rogers
Advances in Neural Information Processing Systems, 3532-3542, 2019
52019
A decomposition of forecast error in prediction markets
M Dudik, S Lahaie, RM Rogers, JW Vaughan
Advances in Neural Information Processing Systems, 4371-4380, 2017
52017
Locally private confidence intervals: Z-test and tight confidence intervals
M Gaboardi, R Rogers, O Sheffet
Proceedings of the 22nd International Conference on Artificial Intelligence …, 0
4
Guaranteed validity for empirical approaches to adaptive data analysis
R Rogers, A Roth, A Smith, N Srebro, O Thakkar, B Woodworth
International Conference on Artificial Intelligence and Statistics, 2830-2840, 2020
32020
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