Author

Zhou Fan

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Preprint Aug 2026

Empirical Bayes linear regression in high dimensions: Method of moments and sub-linear sample complexity

Under mild design conditions, satisfied by a broad class of correlated random designs, it is shown that EBMoM consistently estimates a growing number of moments and hence the prior itself, provided that $n\geq p^{1-o(1)}$.

Zhou Fan, Yandi Shen, Hao-Yu Wang et al. · 0 citations

Jul 2026

Geometric planted matchings in high dimensions: The power of multiple views

A simple polynomial-time procedure recovers all relative matchings up to $o(n)$ errors whenever $b>K/(K-1)$ and multiple views can break the impossibility barrier $b=2$ for the original matching problem.

Timothy L. H. Wee, Kaylee Yingxi Yang, Zhou Fan et al. · arXiv.org · 0 citations