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20142026
most citedAchieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions

38 citations · 248 across the 24 of their papers we have counts for

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9 papers · 1 filter

stat.ML2026

High-Dimensional Procrustes Matching via Tree Counts

Xiaochun Niu, Tselil Schramm, Jiaming Xu

Suppose we observe two sets of Gaussian vectors in , with the promise that, after applying a permutation of and a rotation of , the two sets a…

stat.ML2019★ 19 cited

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model

Zhou Fan, Cheng Mao, Yihong Wu +1

Graph matching aims at finding the vertex correspondence between two unlabeled graphs that maximizes the total edge weight correlation. This amounts to solving a computationally in…

stat.ML2018★ 21 cited

Efficient random graph matching via degree profiles

Jian Ding, Zongming Ma, Yihong Wu +1

Random graph matching refers to recovering the underlying vertex correspondence between two random graphs with correlated edges; a prominent example is when the two random graphs a…

stat.ML2016★ 20 cited

Semidefinite Programs for Exact Recovery of a Hidden Community

Bruce Hajek, Yihong Wu, Jiaming Xu

We study a semidefinite programming (SDP) relaxation of the maximum likelihood estimation for exactly recovering a hidden community of cardinality from an symmetri…

stat.ML2015★ 16 cited

Submatrix localization via message passing

Bruce Hajek, Yihong Wu, Jiaming Xu

The principal submatrix localization problem deals with recovering a principal submatrix of elevated mean in a large symmetric matrix subject to additiv…

stat.ML2015★ 5 cited

Recovering a Hidden Community Beyond the Kesten-Stigum Threshold in Time

Bruce Hajek, Yihong Wu, Jiaming Xu

Community detection is considered for a stochastic block model graph of n vertices, with K vertices in the planted community, edge probability p for pairs of vertices both in the c…