Argyris Mouzakis

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Pac Learnability

Differential Privacy

Mixture Of Gaussians

Top Venues

Publications

Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
Not All Learnable Distribution Classes are Privately Learnable. ALT (2024)
Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
Not All Learnable Distribution Classes are Privately Learnable. CoRR (2024)
Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan R. Ullman
Private Mean Estimation with Person-Level Differential Privacy. CoRR (2024)
Gautam Kamath, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman
A Bias-Variance-Privacy Trilemma for Statistical Estimation. CoRR (2023)
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma. NeurIPS (2022)
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman
A Private and Computationally-Efficient Estimator for Unbounded Gaussians. COLT (2022)
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma. CoRR (2022)
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman
A Private and Computationally-Efficient Estimator for Unbounded Gaussians. CoRR (2021)