Argyris Mouzakis

According to our database, Argyris Mouzakis authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Robust Statistical Estimators with Bounded Empirical Sensitivity.

Valentio Iverson, Gautam Kamath, Argyris Mouzakis, Adam Smith

CoRR, May, 2026

2025

Private Mean Estimation with Person-Level Differential Privacy.

Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan R. Ullman

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Optimal Differentially Private Sampling of Unbounded Gaussians.

Valentio Iverson, Gautam Kamath, Argyris Mouzakis

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Not All Learnable Distribution Classes are Privately Learnable.

Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

A Bias-Variance-Privacy Trilemma for Statistical Estimation.

Gautam Kamath, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman

CoRR, 2023

2022

New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma.

Gautam Kamath, Argyris Mouzakis, Vikrant Singhal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Private and Computationally-Efficient Estimator for Unbounded Gaussians.

Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022