Kamalika Chaudhuri
Kamalika Chaudhuri
Associate Professor of Computer Science, University of California, San Diego
Verified email at eng.ucsd.edu - Homepage
TitleCited byYear
Differentially private empirical risk minimization
K Chaudhuri, C Monteleoni, AD Sarwate
Journal of machine learning research: JMLR 12, 1069, 2011
788*2011
Multi-view clustering via canonical correlation analysis
K Chaudhuri, SM Kakade, K Livescu, K Sridharan
Proceedings of the 26th annual international conference on machine learning …, 2009
5352009
Privacy, accuracy, and consistency too: a holistic solution to contingency table release
B Barak, K Chaudhuri, C Dwork, S Kale, F McSherry, K Talwar
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on …, 2007
4032007
Location determination of a mobile device using IEEE 802.11 b access point signals
S Saha, K Chaudhuri, D Sanghi, P Bhagwat
Wireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE 3, 1987-1992, 2003
2772003
Selfish caching in distributed systems: a game-theoretic analysis
BG Chun, K Chaudhuri, H Wee, M Barreno, CH Papadimitriou, ...
Proceedings of the twenty-third annual ACM symposium on Principles of …, 2004
1852004
Paths, trees, and minimum latency tours
K Chaudhuri, B Godfrey, S Rao, K Talwar
Foundations of Computer Science, 2003. Proceedings. 44th Annual IEEE …, 2003
1692003
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model.
K Chaudhuri, FC Graham, A Tsiatas
Journal of Machine Learning Research-Proceedings Track 23, 35.1-35.23, 2012
1622012
A Near-Optimal Algorithm for Differentially-Private Principal Components
K Chaudhuri, AD Sarwate, K Sinha
Journal of Machine Learning Research 14, 2905-2943, 2013
151*2013
Stochastic gradient descent with differentially private updates
S Song, K Chaudhuri, AD Sarwate
2013 IEEE Global Conference on Signal and Information Processing, 245-248, 2013
1402013
Signal processing and machine learning with differential privacy: Algorithms and challenges for continuous data
AD Sarwate, K Chaudhuri
IEEE signal processing magazine 30 (5), 86-94, 2013
1172013
Rates of convergence for the cluster tree
K Chaudhuri, S Dasgupta
Advances in Neural Information Processing Systems, 343-351, 2010
116*2010
A parameter-free hedging algorithm
K Chaudhuri, Y Freund, DJ Hsu
Advances in neural information processing systems, 297-305, 2009
1012009
iDASH: integrating data for analysis, anonymization, and sharing
L Ohno-Machado, V Bafna, AA Boxwala, BE Chapman, WW Chapman, ...
Journal of the American Medical Informatics Association 19 (2), 196-201, 2011
942011
When random sampling preserves privacy
K Chaudhuri, N Mishra
Annual International Cryptology Conference, 198-213, 2006
802006
Learning Mixtures of Product Distributions Using Correlations and Independence.
K Chaudhuri, S Rao
COLT 4 (1), 9-20, 2008
722008
Sample Complexity Bounds for Differentially Private Learning.
K Chaudhuri, D Hsu
COLT 19, 155-186, 2011
692011
Rates of convergence for nearest neighbor classification
K Chaudhuri, S Dasgupta
Advances in Neural Information Processing Systems, 3437-3445, 2014
612014
Beyond Disagreement-based Agnostic Active Learning
C Zhang, K Chaudhuri
Advances in Neural Information Processing Systems, 442-450, 2014
562014
Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics
X Wu, F Li, A Kumar, K Chaudhuri, S Jha, J Naughton
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
52*2017
Active Learning from Weak and Strong Labelers
C Zhang, K Chaudhuri
Advances in Neural Information Processing Systems, 703-711, 2015
512015
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Articles 1–20