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20142026
most citedEntrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence

21 citations · 30 across the 15 of their papers we have counts for

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5 papers · 1 filter

math.ST2026

Vertex misalignment and changepoint localization in network time series

Tianyi Chen, Mohammad Sharifi Kiasari, Sijing Yu +5

Inference for time series of networks often relies on accurate vertex correspondence between network realizations at different times. In practice, such vertex alignments can be mis…

math.ST2026

KRAFTY: Khatri-Rao Framework for Joint Cluster Recovery

Siyi Gao, Zachary Lubberts, Marianna Pensky

When multiple datasets describe complementary information about the same set of entities, for example, brain scans of an individual over time, global trade network across years, or…

math.ST2025

Limiting distributions of ratios of Binomial random variables

Adriel Barretto, Zachary Lubberts

We consider the limiting distribution of the quantity , where and are two independent Binomial random variables with a common success probability and a number…

math.ST2022★ 2 cited

Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels

Joshua Agterberg, Zachary Lubberts, Jesús Arroyo

Modern network datasets are often composed of multiple layers, either as different views, time-varying observations, or independent sample units, resulting in collections of networ…

math.ST2021★ 21 cited

Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence

Joshua Agterberg, Zachary Lubberts, Carey Priebe

We propose an estimator for the singular vectors of high-dimensional low-rank matrices corrupted by additive subgaussian noise, where the noise matrix is allowed to have dependence…