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math.OC2021
Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for -Norm Principal Component Analysis
Peng Wang, Huikang Liu, Anthony Man-Cho So
A popular robust alternative of the classic principal component analysis (PCA) is the -norm PCA (L1-PCA), which aims to find a subspace that captures the most variation in…
math.OC2021★ 3 cited
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
Peng Wang, Huikang Liu, Zirui Zhou +1
In this paper, we study the problem of exact community recovery in the symmetric stochastic block model, where a graph of vertices is randomly generated by partitioning the ver…