Efficient Private Empirical Risk Minimization for High-dimensional Learning

Shiva Prasad Kasiviswanathan, Hongxia Jin. Efficient Private Empirical Risk Minimization for High-dimensional Learning. 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 488-497, JMLR.org, 2016. [doi]

Authors

Shiva Prasad Kasiviswanathan

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Hongxia Jin

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