Argyris Mouzakis

According to our database, Argyris Mouzakis authored at least 4 papers between 2022 and 2024.

Collaborative distances:

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

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