Ryan Rogers
Ryan Rogers
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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
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
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
M Gaboardi, J Honaker, G King, J Murtagh, K Nissim, J Ullman, S Vadhan, ...
arXiv preprint arXiv:1609.04340, 2016
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
Learning with Privacy at Scale
DP Team
Apple Machine Learning Journal 1 (8), 2017
Lower bounds for locally private estimation via communication complexity
J Duchi, R Rogers
Conference on Learning Theory, 1161-1191, 2019
Local private hypothesis testing: Chi-square tests
M Gaboardi, R Rogers
International Conference on Machine Learning, 1626-1635, 2018
Asymptotically truthful equilibrium selection in large congestion games
RM Rogers, A Roth
Proceedings of the fifteenth ACM conference on Economics and computation …, 2014
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
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
A new class of private chi-square tests
D Kifer, R Rogers
Proceedings of the 20th International Conference on Artificial Intelligence …, 2016
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
A new class of private chi-square hypothesis tests
R Rogers, D Kifer
Artificial Intelligence and Statistics, 991-1000, 2017
Practical Differentially Private Top- Selection with Pay-what-you-get Composition
D Durfee, R Rogers
arXiv preprint arXiv:1905.04273, 2019
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
LinkedIn's Audience Engagements API: A privacy preserving data analytics system at scale
R Rogers, S Subramaniam, S Peng, D Durfee, S Lee, SK Kancha, ...
arXiv preprint arXiv:2002.05839, 2020
Learning from rational behavior: Predicting solutions to unknown linear programs
S Jabbari, RM Rogers, A Roth, SZ Wu
Advances in Neural Information Processing Systems 29, 1570-1578, 2016
A decomposition of forecast error in prediction markets
M Dudík, S Lahaie, R Rogers, JW Vaughan
arXiv preprint arXiv:1702.07810, 2017
Robust mediators in large games
M Kearns, MM Pai, R Rogers, A Roth, J Ullman
arXiv preprint arXiv:1512.02698, 2015
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