Kamalika Chaudhuri

University of California, San Diego, Computer Science Department

	2012
j7		Lucila Ohno-Machado, Vineet Bafna, Aziz A. Boxwala, Brian E. Chapman, Wendy Webber Chapman, Kamalika Chaudhuri, Michele E. Day, Claudiu Farcas, Nathaniel D. Heintzman, Xiaoqian Jiang, Hyeoneui Kim, Jihoon Kim, Michael E. Matheny, Frederic S. Resnic, Staal A. Vinterbo: iDASH: integrating data for analysis, anonymization, and sharing. JAMIA 19(2): 196-201 (2012)
j6		Kamalika Chaudhuri, Fan Chung Graham, Alexander Tsiatas: Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model. Journal of Machine Learning Research - Proceedings Track 23: 35.1-35.23 (2012)
c26		Kamalika Chaudhuri, Daniel Hsu: Convergence Rates for Differentially Private Statistical Estimation. ICML 2012
c25		Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha: Near-optimal Differentially Private Principal Components. NIPS 2012: 998-1006
i8		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: An Online Learning-based Framework for Tracking. CoRR abs/1203.3471 (2012)
i7		Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha: Near-Optimal Algorithms for Differentially-Private Principal Components. CoRR abs/1207.2812 (2012)
	2011
j5		Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate: Differentially Private Empirical Risk Minimization. Journal of Machine Learning Research 12: 1069-1109 (2011)
j4		Kamalika Chaudhuri, Daniel Hsu: Sample Complexity Bounds for Differentially Private Learning. Journal of Machine Learning Research - Proceedings Track 19: 155-186 (2011)
c24		Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M. Kakade, Le Song, Tong Zhang: Spectral Methods for Learning Multivariate Latent Tree Structure. NIPS 2011: 2025-2033
i6		Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M. Kakade, Le Song, Tong Zhang: Spectral Methods for Learning Multivariate Latent Tree Structure. CoRR abs/1107.1283 (2011)
	2010
c23		Kamalika Chaudhuri, Sanjoy Dasgupta: Rates of convergence for the cluster tree. NIPS 2010: 343-351
c22		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: An Online Learning-based Framework for Tracking. UAI 2010: 101-108
	2009
j3		Kamalika Chaudhuri, Satish Rao, Samantha Riesenfeld, Kunal Talwar: What Would Edmonds Do? Augmenting Paths and Witnesses for Degree-Bounded MSTs. Algorithmica 55(1): 157-189 (2009)
j2		Kamalika Chaudhuri, Satish Rao, Samantha Riesenfeld, Kunal Talwar: A push-relabel approximation algorithm for approximating the minimum-degree MST problem and its generalization to matroids. Theor. Comput. Sci. 410(44): 4489-4503 (2009)
c21		Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu, Karthik Sridharan: Multi-view clustering via canonical correlation analysis. ICML 2009: 17
c20		Kamalika Chaudhuri, Constantinos Daskalakis, Robert D. Kleinberg, Henry Lin: Online Bipartite Perfect Matching With Augmentations. INFOCOM 2009: 1044-1052
c19		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: A Parameter-free Hedging Algorithm. NIPS 2009: 297-305
i5		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: A parameter-free hedging algorithm. CoRR abs/0903.2851 (2009)
i4		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: Tracking using explanation-based modeling. CoRR abs/0903.2862 (2009)
i3		Kamalika Chaudhuri, Anand D. Sarwate: Privacy constraints in regularized convex optimization. CoRR abs/0907.1413 (2009)
i2		Anand D. Sarwate, Kamalika Chaudhuri, Claire Monteleoni: Differentially Private Support Vector Machines. CoRR abs/0912.0071 (2009)
i1		Kamalika Chaudhuri, Sanjoy Dasgupta, Andrea Vattani: Learning Mixtures of Gaussians using the k-means Algorithm. CoRR abs/0912.0086 (2009)
	2008
c18		Kamalika Chaudhuri, Satish Rao: Learning Mixtures of Product Distributions Using Correlations and Independence. COLT 2008: 9-20
c17		Kamalika Chaudhuri, Satish Rao: Beyond Gaussians: Spectral Methods for Learning Mixtures of Heavy-Tailed Distributions. COLT 2008: 21-32
c16		Kamalika Chaudhuri, Andrew McGregor: Finding Metric Structure in Information Theoretic Clustering. COLT 2008: 391-402
c15		Kamalika Chaudhuri, Claire Monteleoni: Privacy-preserving logistic regression. NIPS 2008: 289-296
c14		Kamalika Chaudhuri, Fan Chung Graham, Mohammad Shoaib Jamall: A Network Coloring Game. WINE 2008: 522-530
	2007
j1		Kamalika Chaudhuri, Anshul Kothari, Rudi Pendavingh, Ram Swaminathan, Robert Endre Tarjan, Yunhong Zhou: Server Allocation Algorithms for Tiered Systems. Algorithmica 48(2): 129-146 (2007)
c13		Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, Kunal Talwar: Privacy, accuracy, and consistency too: a holistic solution to contingency table release. PODS 2007: 273-282
c12		Kamalika Chaudhuri, Eran Halperin, Satish Rao, Shuheng Zhou: A rigorous analysis of population stratification with limited data. SODA 2007: 1046-1055
	2006
c11		Kamalika Chaudhuri, Nina Mishra: When Random Sampling Preserves Privacy. CRYPTO 2006: 198-213
c10		Kamalika Chaudhuri, Satish Rao, Samantha Riesenfeld, Kunal Talwar: A Push-Relabel Algorithm for Approximating Degree Bounded MSTs. ICALP (1) 2006: 191-201
c9		Kamalika Chaudhuri, Kevin Chen, Radu Mihaescu, Satish Rao: On the tandem duplication-random loss model of genome rearrangement. SODA 2006: 564-570
	2005
c8		Kamalika Chaudhuri, Satish Rao, Samantha Riesenfeld, Kunal Talwar: What Would Edmonds Do? Augmenting Paths and Witnesses for Degree-Bounded MSTs. APPROX-RANDOM 2005: 26-39
c7		Kamalika Chaudhuri, Anshul Kothari, Rudi Pendavingh, Ram Swaminathan, Robert Endre Tarjan, Yunhong Zhou: Server Allocation Algorithms for Tiered Systems. COCOON 2005: 632-643
c6		Eric Anderson, Dirk Beyer, Kamalika Chaudhuri, Terence Kelly, Norman Salazar, Cipriano A. Santos, Ram Swaminathan, Robert Endre Tarjan, Janet L. Wiener, Yunhong Zhou: Deadline scheduling for animation rendering. SIGMETRICS 2005: 384-385
c5		Eric Anderson, Dirk Beyer, Kamalika Chaudhuri, Terence Kelly, Norman Salazar, Cipriano A. Santos, Ram Swaminathan, Robert Endre Tarjan, Janet L. Wiener, Yunhong Zhou: Value-maximizing deadline scheduling and its application to animation rendering. SPAA 2005: 299-308
	2004
c4		Byung-Gon Chun, Kamalika Chaudhuri, Hoeteck Wee, Marco Barreno, Christos H. Papadimitriou, John Kubiatowicz: Selfish caching in distributed systems: a game-theoretic analysis. PODC 2004: 21-30
	2003
c3		Kamalika Chaudhuri, Brighten Godfrey, Satish Rao, Kunal Talwar: Paths, Trees, and Minimum Latency Tours. FOCS 2003: 36-45
c2		Siddhartha Saha, Kamalika Chaudhuri, Dheeraj Sanghi: An Extension of Scalable Global IP Anycasting for Load Balancing in the Internet. ICOIN 2003: 161-170
c1		Siddhartha Saha, Kamalika Chaudhuri, Dheeraj Sanghi, Pravin Bhagwat: Location determination of a mobile device using IEEE 802.11b access point signals. WCNC 2003: 1987-1992

Coauthor Index

Colors in the list of coauthors

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