Rogers, Ryan

10 publications

ICML 2023 Fully-Adaptive Composition in Differential Privacy Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu

AISTATS 2022 Differentially Private Histograms Under Continual Observation: Streaming Selection into the Unknown Adrian Rivera Cardoso, Ryan Rogers

ALT 2021 Bounding, Concentrating, and Truncating: Unifying Privacy Loss Composition for Data Analytics Mark Cesar, Ryan Rogers

AISTATS 2020 Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis Ryan Rogers, Aaron Roth, Adam Smith, Nathan Srebro, Om Thakkar, Blake Woodworth

ICML 2020 Optimal Differential Privacy Composition for Exponential Mechanisms Jinshuo Dong, David Durfee, Ryan Rogers

AISTATS 2019 Locally Private Mean Estimation: $z$-Test and Tight Confidence Intervals Marco Gaboardi, Ryan Rogers, Or Sheffet

COLT 2019 Lower Bounds for Locally Private Estimation via Communication Complexity John Duchi, Ryan Rogers

ICML 2018 Local Private Hypothesis Testing: Chi-Square Tests Marco Gaboardi, Ryan Rogers

AISTATS 2017 A New Class of Private Chi-Square Hypothesis Tests Ryan Rogers, Daniel Kifer

ICML 2016 Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi, Hyun Lim, Ryan Rogers, Salil Vadhan