Kamalika Chaudhuri

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Anand SarwateAssociate Professor, Rutgers UniversityAdresse e-mail validée de rutgers.edu
Shuang SongUniversity of California San DiegoAdresse e-mail validée de eng.ucsd.edu
Kunal TalwarApple IncAdresse e-mail validée de apple.com
Somesh JhaLubar Chair of Computer Science, University of WisconsinAdresse e-mail validée de cs.wisc.edu
Satish B RaoAdresse e-mail validée de berkeley.edu
Yao-Yuan YangDeepMindAdresse e-mail validée de deepmind.com
Claire MonteleoniINRIA & University of Colorado BoulderAdresse e-mail validée de colorado.edu
Daniel HsuColumbia UniversityAdresse e-mail validée de cs.columbia.edu
Chicheng ZhangUniversity of ArizonaAdresse e-mail validée de cs.arizona.edu
Sanjoy DasguptaProfessor of Computer Science, University of California, San DiegoAdresse e-mail validée de eng.ucsd.edu
Cyrus RashtchianGoogle ResearchAdresse e-mail validée de eng.ucsd.edu
Sham M KakadeHarvard UniversityAdresse e-mail validée de seas.harvard.edu
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamAdresse e-mail validée de uva.nl
Yizhen WangVisa ResearchAdresse e-mail validée de visa.com
James FouldsUniversity of Maryland, Baltimore CountyAdresse e-mail validée de umbc.edu
Tara JavidiProfessor of Electrical and Computer Engineering, UCSDAdresse e-mail validée de eng.ucsd.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUAdresse e-mail validée de cs.cmu.edu
Songbai YanUniversity of California San DiegoAdresse e-mail validée de eng.ucsd.edu
Jacob John ImolaUC San DiegoAdresse e-mail validée de eng.ucsd.edu
Zhifeng KongNVIDIAAdresse e-mail validée de ucsd.edu

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Kamalika Chaudhuri

Professor of Computer Science, UCSD. Research Scientist, Meta AI

Adresse e-mail validée de ucsd.edu - Page d'accueil

Machine Learning Privacy Interactive Learning Unsupervised Learning Adversarial Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Differentially private empirical risk minimization K Chaudhuri, C Monteleoni, AD Sarwate Journal of machine learning research: JMLR 12, 1069, 2011	1922*	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	896	2009
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	667	2013
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	570	2007
A Near-Optimal Algorithm for Differentially-Private Principal Components K Chaudhuri, AD Sarwate, K Sinha Journal of Machine Learning Research 14, 2905-2943, 2013	342*	2013
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	316	2003
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	250	2017
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	248	2012
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	245	2013
A closer look at accuracy vs. robustness YY Yang, C Rashtchian, H Zhang, R Salakhutdinov, K Chaudhuri Advances in Neural Information Processing Systems 33, 2020	233	2020
Paths, trees, and minimum latency tours K Chaudhuri, B Godfrey, S Rao, K Talwar Foundations of Computer Science, 2003. Proceedings. 44th Annual IEEE …, 2003	222	2003
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	214	2004
Rates of convergence for the cluster tree K Chaudhuri, S Dasgupta Advances in Neural Information Processing Systems, 343-351, 2010	207*	2010
A parameter-free hedging algorithm K Chaudhuri, Y Freund, DJ Hsu Advances in neural information processing systems 22, 297-305, 2009	158	2009
Rates of convergence for nearest neighbor classification K Chaudhuri, S Dasgupta Advances in Neural Information Processing Systems 27, 3437-3445, 2014	157	2014
Pufferfish Privacy Mechanisms for Correlated Data S Song, Y Wang, K Chaudhuri Proceedings of the 2017 ACM International Conference on Management of Data …, 2017	150*	2017
Analyzing the robustness of nearest neighbors to adversarial examples Y Wang, S Jha, K Chaudhuri International Conference on Machine Learning, 5133-5142, 2018	147	2018
Approximation and convergence properties of generative adversarial learning S Liu, O Bousquet, K Chaudhuri Advances in Neural Information Processing Systems 30, 5545-5553, 2017	144	2017
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	134	2011
Sample Complexity Bounds for Differentially Private Learning. K Chaudhuri, D Hsu COLT 19, 155-186, 2011	128	2011

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