Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing

Ryan M. Rogers, Salil P. Vadhan, Hyun-Woo Lim, Marco Gaboardi. Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing. In Maria-Florina Balcan, Kilian Q. Weinberger, editors, Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016. Volume 48 of JMLR Workshop and Conference Proceedings, pages 2111-2120, JMLR.org, 2016. [doi]

Abstract

Abstract is missing.