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Filters: Author is Chaudhuri, Kamalika [Clear All Filters]
iDASH: integrating data for analysis, anonymization, and sharing. J Am Med Inform Assoc. 2011 .
Differentially Private Empirical Risk Minimization. J Mach Learn Res. 2011 ;12:1069-1109..
Near-Optimal Algorithms for Differentially-Private Principal Components. Neural Information Processing Systems (NIPS). 2012 ..
Learning from Data with Heterogeneous Noise using SGD. In: 18th International Conference on Artificial Intelligence and Statistics (AISTATS). 18th International Conference on Artificial Intelligence and Statistics (AISTATS). ; 2015..
Sample Complexity Bounds for Differentially Private Learning. JMLR Workshop Conf Proc. 2011 ;2011:155-186..
Signal Processing and Machine Learning with Differential Privacy: Algorithms and challenges for continuous data. IEEE Signal Process Mag. 2013 ;30(5):86-94..
Convergence Rates for Differentially Private Statistical Estimation. 29th International Conference on Machine Learning. 2012 ..