AM
Argyris Mouzakis
stat.MLcs.DScs.CRcs.ITcs.LGmath.ITmath.STstat.TH
On Valency
published · living versionsW_5m2zmfqb·v1 · currentpublished
Efficient and Optimal Learning of Discrete Distributions with Person-Level Privacy
with Gautam Kamath, Mahbod Majid, Ankur Moitra, Jonathan Ullman
1 version
W_ev86av6e·v1published
Preprints & journals
8 papers in the corpus · 2021–2026Actually, All Learnable Distribution Classes Are Privately Learnable2610.28878v1 · Mohammad Afzali, Hassan Ashtiani, Alex Bie et al.2026 · 0 citationsarXivon Valency
Robust Statistical Estimators with Bounded Empirical Sensitivity2605.21860v1 · Valentio Iverson, Gautam Kamath, Argyris Mouzakis et al.2026 · 0 citationsarXiv
Optimal Differentially Private Sampling of Unbounded Gaussians2503.01766v1 · Valentio Iverson, Gautam Kamath, Argyris Mouzakis2025 · 0 citationsarXiv
Private Mean Estimation with Person-Level Differential Privacy2405.20405v3 · Sushant Agarwal, Gautam Kamath, Mahbod Majid et al.2024 · 6 citationsarXiv
Not All Learnable Distribution Classes are Privately Learnable2402.00267v4 · Mark Bun, Gautam Kamath, Argyris Mouzakis et al.2024 · 0 citationsarXiv
A Bias-Accuracy-Privacy Trilemma for Statistical Estimation2301.13334v3 · Gautam Kamath, Argyris Mouzakis, Matthew Regehr et al.2023 · 0 citationsarXiv
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma2205.08532v5 · Gautam Kamath, Argyris Mouzakis, Vikrant Singhal2022 · 7 citationsarXiv
A Private and Computationally-Efficient Estimator for Unbounded Gaussians2111.04609v2 · Gautam Kamath, Argyris Mouzakis, Vikrant Singhal et al.2021 · 8 citationsarXiv
Career total: 10 works. 8 are in this corpus.
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