Argyris Mouzakis

11 papers A* 4B 1Journal 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Optimal Differentially Private Sampling of Unbounded Gaussians.
COLT
Valentio Iverson, Gautam Kamath, Argyris Mouzakis
2025 J jnl
Optimal Differentially Private Sampling of Unbounded Gaussians.
CoRR
Valentio Iverson, Gautam Kamath, Argyris Mouzakis
2025 A* conf
Private Mean Estimation with Person-Level Differential Privacy.
SODA
Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan R. Ullman
2024 B conf
Not All Learnable Distribution Classes are Privately Learnable.
ALT
Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
2024 J jnl
Not All Learnable Distribution Classes are Privately Learnable.
CoRR
Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
2024 J jnl
Private Mean Estimation with Person-Level Differential Privacy.
CoRR
Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan R. Ullman
2023 J jnl
A Bias-Variance-Privacy Trilemma for Statistical Estimation.
CoRR
Gautam Kamath, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman
2022 A* conf
A Private and Computationally-Efficient Estimator for Unbounded Gaussians.
COLT
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman
2022 A* conf
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma.
NeurIPS
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
2022 J jnl
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma.
CoRR
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
2021 J jnl
A Private and Computationally-Efficient Estimator for Unbounded Gaussians.
CoRR
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman