Signal-plus-noise matrix models: eigenvector deviations and fluctuations

Signal-plus-noise matrix models: eigenvector deviations and fluctuations

1 February 2018

Carey E. Priebe

Papers citing "Signal-plus-noise matrix models: eigenvector deviations and fluctuations"

8 / 8 papers shown

Title
Elliptic PDE learning is provably data-efficient N. Boullé Diana Halikias Alex Townsend 22 18 0 24 Feb 2023
Bayesian Sparse Gaussian Mixture Model in High Dimensions Dapeng Yao Fangzheng Xie Yanxun Xu 33 1 0 21 Jul 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms Joshua Agterberg Jeremias Sulam 21 0 0 08 Feb 2022
The multilayer random dot product graph Andrew Jones Patrick Rubin-Delanchy 8 35 0 20 Jul 2020
Manifold structure in graph embeddings Patrick Rubin-Delanchy 19 24 0 09 Jun 2020
On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models Joshua Agterberg M. Tang Carey E. Priebe CML 30 9 0 31 Mar 2020
Efficient Estimation for Random Dot Product Graphs via a One-step Procedure Fangzheng Xie Yanxun Xu 27 21 0 10 Oct 2019
Estimating Mixed Memberships with Sharp Eigenvector Deviations Xueyu Mao Purnamrita Sarkar Deepayan Chakrabarti 14 84 0 01 Sep 2017