high-dimensional data 1latent geometry recovery 1random geometric graphs 1semidefinite programming 1spectral analysis 1
From the 1 of 3 linked papers with an AI index.
3 papers
stat.ML2026
Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs
Manuel Fernandez, Yizhe Zhu
The paper studies sparse high‑dimensional random geometric graphs, deriving tighter spectral norm bounds and showing how to recover the latent vectors and block labels using leadin…
math.ST2026
Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
Ioana Dumitriu, Hai-Xiao Wang, Yizhe Zhu
We consider the community detection problem in sparse random hypergraphs under the non-uniform hypergraph stochastic block model (HSBM), a general model of random networks with com…
math.PR2024
Extreme singular values of inhomogeneous sparse random rectangular matrices
Ioana Dumitriu, Yizhe Zhu
We develop a unified approach to bounding the largest and smallest singular values of an inhomogeneous random rectangular matrix, based on the non-backtracking operator and the Iha…