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Kamalika Chaudhuri

Showing results (1-10 of 6) with videos related to

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JMLR Workshop and Conference Proceedings|October 7, 2014
Sample Complexity Bounds for Differentially Private LearningKamalika Chaudhuri, Daniel Hsu
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|October 11, 2014
Convergence Rates for Differentially Private Statistical EstimationKamalika Chaudhuri, Daniel Hsu
IEEE Signal Processing Magazine|April 17, 2014
Signal Processing and Machine Learning with Differential Privacy: Algorithms and challenges for continuous dataAnand D Sarwate, Kamalika Chaudhuri
JMLR Workshop and Conference Proceedings|December 26, 2015
Learning from Data with Heterogeneous Noise using SGDShuang Song, Kamalika Chaudhuri, Anand D Sarwate
Journal of Machine Learning Research : JMLR|September 6, 2011
Differentially Private Empirical Risk MinimizationKamalika Chaudhuri, Claire Monteleoni, Anand D Sarwate
Journal of the American Medical Informatics Association : JAMIA|November 15, 2011
iDASH: integrating data for analysis, anonymization, and sharingLucila Ohno-Machado, Vineet Bafna, Aziz A Boxwala, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
JMLR Workshop and Conference Proceedings|October 7, 2014
Sample Complexity Bounds for Differentially Private LearningKamalika Chaudhuri, Daniel Hsu
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|October 11, 2014
Convergence Rates for Differentially Private Statistical EstimationKamalika Chaudhuri, Daniel Hsu
IEEE Signal Processing Magazine|April 17, 2014
Signal Processing and Machine Learning with Differential Privacy: Algorithms and challenges for continuous dataAnand D Sarwate, Kamalika Chaudhuri
JMLR Workshop and Conference Proceedings|December 26, 2015
Learning from Data with Heterogeneous Noise using SGDShuang Song, Kamalika Chaudhuri, Anand D Sarwate
Journal of Machine Learning Research : JMLR|September 6, 2011
Differentially Private Empirical Risk MinimizationKamalika Chaudhuri, Claire Monteleoni, Anand D Sarwate
Journal of the American Medical Informatics Association : JAMIA|November 15, 2011
iDASH: integrating data for analysis, anonymization, and sharingLucila Ohno-Machado, Vineet Bafna, Aziz A Boxwala, et al.
Pageof 1