Kamalika Chaudhuri
66 papers · 2008–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 20 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Kamalika Chaudhuri?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Daniel J. Hsu, Shuang Song, Claire Monteleoni
10 papers
· 2008–2017
· NeurIPS, JMLR, AISTATS
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Renyi Differential Privacy Mechanisms for Posterior Sampling
NeurIPS 2017
Convergence Rates of Active Learning for Maximum Likelihood Estimation
NeurIPS 2015
Learning from Data with Heterogeneous Noise using SGD
AISTATS 2015
The Large Margin Mechanism for Differentially Private Maximization
NeurIPS 2014
A Near-Optimal Algorithm for Differentially-Private Principal Components
JMLR 2013
Near-optimal Differentially Private Principal Components
NeurIPS 2012
Differentially Private Empirical Risk Minimization
JMLR 2011
Spectral Methods for Learning Multivariate Latent Tree Structure
NeurIPS 2011
A Parameter-free Hedging Algorithm
NeurIPS 2009
Privacy-preserving logistic regression
NeurIPS 2008
14 papers whose co-authors appear nowhere else under this name
Auditing f-differential privacy in one run
ICML 2025
Distribution Learning with Valid Outputs Beyond the Worst-Case
NeurIPS 2024
Effective pruning of web-scale datasets based on complexity of concept clusters
ICLR 2024
On Differentially Private U Statistics
NeurIPS 2024
Why does Throwing Away Data Improve Worst-Group Error?
ICML 2023
Privacy Amplification via Shuffling for Linear Contextual Bandits
ALT 2022
Approximate Data Deletion from Machine Learning Models
AISTATS 2021
Variational Bayes in Private Settings (VIPS) (Extended Abstract)
IJCAI 2020
Capacity Bounded Differential Privacy
NeurIPS 2019
Active Heteroscedastic Regression
ICML 2017
Approximation and Convergence Properties of Generative Adversarial Learning
NeurIPS 2017
A Stability-based Validation Procedure for Differentially Private Machine Learning
NeurIPS 2013
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model
COLT 2012
Sample Complexity Bounds for Differentially Private Learning
COLT 2011