MA
Mohammad Afzali
cs.LGstat.MLcs.CRcs.DScs.ITmath.IT
On Valency
published · living versionsW_ev86av6e·v1 · currentpublished
Actually, All Learnable Distribution Classes Are Privately Learnable
with Hassan Ashtiani, Alex Bie, Gautam Kamath, Peihan Liu +2
1 version
W_k3kqhcbd·v1published
Preprints & journals
5 papers in the corpus · 2023–2026Actually, All Learnable Distribution Classes Are Privately Learnable2610.28878v1 · Mohammad Afzali, Hassan Ashtiani, Alex Bie et al.2026 · 0 citationsarXivon Valency
Private Evaluation of High-Dimensional Functions2610.24477v1 · Mohammad Afzali, Hassan Ashtiani, Adam Smith2026 · 0 citationsarXivon Valency
Efficient Agnostic Learning of Univariate Densities Under Local Differential Privacy2610.21033v1 · Mohammad Afzali, Hassan Ashtiani, Sivan Sabato2026 · 0 citationsarXiv
Agnostic Private Density Estimation for GMMs via List Global Stability2407.04783v2 · Mohammad Afzali, Hassan Ashtiani, Christopher Liaw2024 · 0 citationsarXiv
Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples2309.03847v3 · Mohammad Afzali, Hassan Ashtiani, Christopher Liaw2023 · 1 citationarXiv
Career total: 6 works. 5 are in this corpus.
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