Argyris Mouzakis

20222023202412 38 37

Public access

2 articles

0 articles

available

not available

Based on funding mandates

Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector InstituteVerified email at uwaterloo.ca
Vikrant SinghalResearch Associate, Harvard UniversityVerified email at seas.harvard.edu
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Thomas SteinkeGoogle DeepMindVerified email at google.com
Matthew RegehrUniversity of WaterlooVerified email at uwaterloo.ca
Mark BunAssistant Professor, Boston UniversityVerified email at bu.edu

Argyris Mouzakis

Verified email at uwaterloo.ca - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	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	43	2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma G Kamath, A Mouzakis, V Singhal arXiv preprint arXiv:2205.08532, 2022	33	2022
A bias-variance-privacy trilemma for statistical estimation G Kamath, A Mouzakis, M Regehr, V Singhal, T Steinke, J Ullman arXiv preprint arXiv:2301.13334, 2023	10	2023
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	1	2024
Private Mean Estimation with Person-Level Differential Privacy S Agarwal, G Kamath, M Majid, A Mouzakis, R Silver, J Ullman arXiv preprint arXiv:2405.20405, 2024		2024

The system can't perform the operation now. Try again later.

Articles 1–5

Citations per year