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Argyris Mouzakis
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Year
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
542022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
G Kamath, A Mouzakis, V Singhal
arXiv preprint arXiv:2205.08532, 2022
502022
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
42025
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
22024
Optimal Differentially Private Sampling of Unbounded Gaussians
V Iverson, G Kamath, A Mouzakis
arXiv preprint arXiv:2503.01766, 2025
2025
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Articles 1–6