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List of works by Kamalika Chaudhuri

A Closer Look at Accuracy vs. Robustness

A Parameter-free Hedging Algorithm

scientific article published in January 2009

A Stability-based Validation Procedure for Differentially Private Machine Learning

scholarly article by Kamalika Chaudhuri & Staal A. Vinterbo published 2013 in Advances in Neural Information Processing Systems 26

Active Learning from Imperfect Labelers

scientific article published in January 2016

Active Learning from Weak and Strong Labelers

Approximation and Convergence Properties of Generative Adversarial Learning

scientific article published in January 2017

Beyond Disagreement-Based Agnostic Active Learning

scientific article published in January 2014

Capacity Bounded Differential Privacy

Convergence Rates for Differentially Private Statistical Estimation

scientific article published on 01 July 2012

Convergence Rates of Active Learning for Maximum Likelihood Estimation

article by Kamalika Chaudhuri et al published 2015 in Advances in Neural Information Processing Systems 28

Differentially Private Empirical Risk Minimization

scientific article published on March 1, 2011

Learning from Data with Heterogeneous Noise using SGD.

scientific article

Multi-view clustering via canonical correlation analysis

scientific article published on 16 June 2009

Near-optimal Differentially Private Principal Components

scientific article published in January 2012

Privacy-preserving logistic regression

Rates of Convergence for Nearest Neighbor Classification

scientific article published in January 2014

Rates of convergence for the cluster tree

Renyi Differential Privacy Mechanisms for Posterior Sampling

scientific article published in January 2017

Sample Complexity Bounds for Differentially Private Learning

scientific article published on January 2011

Signal Processing and Machine Learning with Differential Privacy: Algorithms and challenges for continuous data

scientific article

Spectral Learning of Large Structured HMMs for Comparative Epigenomics

Spectral Methods for Learning Multivariate Latent Tree Structure

scientific article published in January 2011

Stochastic gradient descent with differentially private updates

scientific article published in December 2013

The Label Complexity of Active Learning from Observational Data

scientific article published in January 2019

The Large Margin Mechanism for Differentially Private Maximization

scientific article published in January 2014

iDASH: integrating data for analysis, anonymization, and sharing

scientific article (publication date: 2012)