activity
20162021
most citedManifold Denoising by Nonlinear Robust Principal Component Analysis

9 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

math.DG2021

Restricted Riemannian geometry for positive semidefinite matrices

A. Martina Neuman, Yuying Xie, Qiang Sun

We introduce the manifold of {\it restricted} positive semidefinite matrices of fixed rank , denoted . The manifold itself is an open and dense submanifo…

cs.LG2019★ 9 cited

Manifold Denoising by Nonlinear Robust Principal Component Analysis

He Lyu, Ningyu Sha, Shuyang Qin +3

This paper extends robust principal component analysis (RPCA) to nonlinear manifolds. Suppose that the observed data matrix is the sum of a sparse component and a component drawn f…

stat.ME2019

The EAS approach for graphical selection consistency in vector autoregression models

Jonathan P Williams, Yuying Xie, Jan Hannig

As evidenced by various recent and significant papers within the frequentist literature, along with numerous applications in macroeconomics, genomics, and neuroscience, there conti…

math.ST2018★ 3 cited

Exact Cluster Recovery via Classical Multidimensional Scaling

Anna Little, Yuying Xie, Qiang Sun

Classical multidimensional scaling is an important dimension reduction technique. Yet few theoretical results characterizing its statistical performance exist. This paper provides…

stat.ML2016★ 1 cited

Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics

Yuying Xie, Yufeng Liu, William Valdar

Gaussian graphical models are widely used to represent conditional dependence among random variables. In this paper, we propose a novel estimator for data arising from a group of G…