7 citations · 13 across the 8 of their papers we have counts for
4 papers · 1 filter
A Linearly Convergent Algorithm for Rotationally Invariant -Norm Principal Component Analysis
Taoli Zheng, Peng Wang, Anthony Man-Cho So
To do dimensionality reduction on the datasets with outliers, the -norm principal component analysis (L1-PCA) as a typical robust alternative of the conventional PCA has en…
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
Peng Wang, Huikang Liu, Anthony Man-Cho So +1
The K-subspaces (KSS) method is a generalization of the K-means method for subspace clustering. In this work, we present local convergence analysis and a recovery guarantee for KSS…
Repro Samples Method for Finite- and Large-Sample Inferences
Min-ge Xie, Peng Wang
This article presents a novel, general, and effective simulation-inspired approach, called {\it repro samples method}, to conduct statistical inference. The approach studies the pe…
Exact Community Recovery over Signed Graphs
Xiaolu Wang, Peng Wang, Anthony Man-Cho So
Signed graphs encode similarity and dissimilarity relationships among different entities with positive and negative edges. In this paper, we study the problem of community recovery…