A private and computationally-efficient estimator for unbounded gaussians G Kamath, A Mouzakis, V Singhal, T Steinke, J Ullman Conference on Learning Theory, 544-572, 2022 | 54 | 2022 |
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma G Kamath, A Mouzakis, V Singhal arXiv preprint arXiv:2205.08532, 2022 | 50 | 2022 |
A Bias-Accuracy-Privacy Trilemma for Statistical Estimation G Kamath, A Mouzakis, M Regehr, V Singhal, T Steinke, J Ullman Journal of the American Statistical Association, 1-12, 2025 | 19* | 2025 |
Private mean estimation with person-level differential privacy S Agarwal, G Kamath, M Majid, A Mouzakis, R Silver, J Ullman Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2025 | 4 | 2025 |
Not all learnable distribution classes are privately learnable M Bun, G Kamath, A Mouzakis, V Singhal International Conference on Algorithmic Learning Theory, 390-401, 2024 | 2 | 2024 |
Optimal Differentially Private Sampling of Unbounded Gaussians V Iverson, G Kamath, A Mouzakis arXiv preprint arXiv:2503.01766, 2025 | | 2025 |