 Noise-Aware Differentially Private Variational InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Incentives in Private Collaborative Machine LearningNeural Information Processing Systems (NeurIPS), 2024 |
 Differentially Private Statistical Inference through -Divergence
One Posterior SamplingNeural Information Processing Systems (NeurIPS), 2023 |
 Saibot: A Differentially Private Data Search PlatformProceedings of the VLDB Endowment (PVLDB), 2023 |
 Simulation-based, Finite-sample Inference for Privatized DataJournal of the American Statistical Association (JASA), 2023 |
 Noise-Aware Statistical Inference with Differentially Private Synthetic
DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Sharper Utility Bounds for Differentially Private ModelsInternational Conference on Information and Knowledge Management (CIKM), 2022 |
 Differentially Private Regression with Unbounded CovariatesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Differentially private inference via noisy optimizationAnnals of Statistics (Ann. Stat.), 2021 |
