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All publications by Kamalika Chaudhuri
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Active Learning from Weak and Strong Labelers
Chicheng Zhang and Kamalika Chaudhuri
Advances in Neural Information Processing Systems 28, 2015


Convergence Rates of Active Learning for Maximum Likelihood Estimation
Kamalika Chaudhuri, Sham M. Kakade, Praneeth Netrapalli and Sujay Sanghavi
Advances in Neural Information Processing Systems 28, 2015


Spectral Learning of Large Structured HMMs for Comparative Epigenomics
Chicheng Zhang, Jimin Song, Kamalika Chaudhuri and Kevin Chen
Advances in Neural Information Processing Systems 28, 2015


Rates of Convergence for Nearest Neighbor Classification
Kamalika Chaudhuri and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 27, 2014


Beyond Disagreement-Based Agnostic Active Learning
Chicheng Zhang and Kamalika Chaudhuri
Advances in Neural Information Processing Systems 27, 2014


The Large Margin Mechanism for Differentially Private Maximization
Kamalika Chaudhuri, Daniel J. Hsu and Shuang Song
Advances in Neural Information Processing Systems 27, 2014


A Stability-based Validation Procedure for Differentially Private Machine Learning
Kamalika Chaudhuri and Staal A. Vinterbo
Advances in Neural Information Processing Systems 26, 2013


Near-optimal Differentially Private Principal Components
Kamalika Chaudhuri, Anand Sarwate and Kaushik Sinha
Advances in Neural Information Processing Systems 25, 2012


Convergence Rates for Differentially Private Statistical Estimation
Kamalika Chaudhuri and Daniel J. Hsu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu, Sham M. Kakade, Le Song and Tong Zhang
Advances in Neural Information Processing Systems 24, 2011


Rates of convergence for the cluster tree
Kamalika Chaudhuri and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 23, 2010


Multi-view clustering via canonical correlation analysis
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu and Karthik Sridharan
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


A Parameter-free Hedging Algorithm
Kamalika Chaudhuri, Yoav Freund and Daniel J. Hsu
Advances in Neural Information Processing Systems 22, 2009


Privacy-preserving logistic regression
Kamalika Chaudhuri and Claire Monteleoni
Advances in Neural Information Processing Systems 21, 2008