21 citations · 119 across the 22 of their papers we have counts for
5 papers · 1 filter
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature
Yufan Li, Zhou Fan, Subhabrata Sen +1
We study estimation in the linear model , in a Bayesian setting where has an entrywise i.i.d. prior and the design is rotationally-invariant in law. In…
Empirical Bayes estimation: When does -modeling beat -modeling in theory (and in practice)?
Yandi Shen, Yihong Wu
Empirical Bayes (EB) is a popular framework for large-scale inference that aims to find data-driven estimators to compete with the Bayesian oracle that knows the true prior. Two pr…
Random graph matching at Otter's threshold via counting chandeliers
Cheng Mao, Yihong Wu, Jiaming Xu +1
We propose an efficient algorithm for graph matching based on similarity scores constructed from counting a certain family of weighted trees rooted at each vertex. For two Erdős-Ré…
Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods
Soham Jana, Yury Polyanskiy, Yihong Wu
The Robbins estimator is the most iconic and widely used procedure in the empirical Bayes literature for the Poisson model. On one hand, this method has been recently shown to be m…
Random Graph Matching in Geometric Models: the Case of Complete Graphs
Haoyu Wang, Yihong Wu, Jiaming Xu +1
This paper studies the problem of matching two complete graphs with edge weights correlated through latent geometries, extending a recent line of research on random graph matching…