Ryan M. Rogers

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 15

Top Topics

Differentially Private

Prediction Markets

Hypothesis Testing

Top Venues

Publications

Ryan M. Rogers, Gennady Samorodnitsky, Zhiwei teven Wu, Aaditya Ramdas
Adaptive Privacy Composition for Accuracy-first Mechanisms. NeurIPS (2023)
Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu, Ryan M. Rogers
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints. NeurIPS (2022)
David Durfee, Ryan M. Rogers
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition. NeurIPS (2019)
Miroslav Dudík, Sébastien Lahaie, Ryan M. Rogers, Jennifer Wortman Vaughan
A Decomposition of Forecast Error in Prediction Markets. CoRR (2017)
Marco Gaboardi, Ryan M. Rogers
Local Private Hypothesis Testing: Chi-Square Tests. CoRR (2017)
Miroslav Dudík, Sébastien Lahaie, Ryan M. Rogers, Jennifer Wortman Vaughan
A Decomposition of Forecast Error in Prediction Markets. NIPS (2017)
Justin Hsu, Jamie Morgenstern, Ryan M. Rogers, Aaron Roth, Rakesh Vohra
Do prices coordinate markets? SIGecom Exch. 15 (1) (2016)
Marco Gaboardi, Hyun-Woo Lim, Ryan M. Rogers, Salil P. Vadhan
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing. ICML (2016)
Justin Hsu, Jamie Morgenstern, Ryan M. Rogers, Aaron Roth, Rakesh Vohra
Do prices coordinate markets? STOC (2016)
Marco Gaboardi, Hyun-Woo Lim, Ryan M. Rogers, Salil P. Vadhan
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing. CoRR (2016)
Ryan M. Rogers, Aaron Roth, Jonathan R. Ullman, Salil P. Vadhan
Privacy Odometers and Filters: Pay-as-you-Go Composition. CoRR (2016)
Ryan M. Rogers, Aaron Roth, Adam D. Smith, Om Thakkar
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing. CoRR (2016)
Ryan M. Rogers, Aaron Roth, Adam D. Smith, Om Thakkar
Max-Information, Differential Privacy, and Post-selection Hypothesis Testing. FOCS (2016)
Shahin Jabbari, Ryan M. Rogers, Aaron Roth, Zhiwei Steven Wu
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs. NIPS (2016)
Ryan M. Rogers, Salil P. Vadhan, Aaron Roth, Jonathan R. Ullman
Privacy Odometers and Filters: Pay-as-you-Go Composition. NIPS (2016)
Ryan M. Rogers, Aaron Roth, Jonathan R. Ullman, Zhiwei Steven Wu
Inducing Approximately Optimal Flow Using Truthful Mediators. EC (2015)
Sampath Kannan, Jamie Morgenstern, Ryan M. Rogers, Aaron Roth
Private Pareto Optimal Exchange. EC (2015)
Justin Hsu, Jamie Morgenstern, Ryan M. Rogers, Aaron Roth, Rakesh Vohra
Do Prices Coordinate Markets? CoRR (2015)
Michael J. Kearns, Mallesh M. Pai, Ryan M. Rogers, Aaron Roth, Jonathan R. Ullman
Robust Mediators in Large Games. CoRR (2015)
Ryan M. Rogers, Aaron Roth, Jonathan R. Ullman, Zhiwei Steven Wu
Inducing Approximately Optimal Flow Using Truthful Mediators. CoRR (2015)
Shahin Jabbari, Ryan M. Rogers, Aaron Roth, Zhiwei Steven Wu
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs. CoRR (2015)
Ryan M. Rogers, Aaron Roth
Asymptotically truthful equilibrium selection in large congestion games. EC (2014)
Sampath Kannan, Jamie Morgenstern, Ryan M. Rogers, Aaron Roth
Private Pareto Optimal Exchange. CoRR (2014)