323 citations · 607 across the 25 of their papers we have counts for
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stat.ML2020★ 3 cited
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
Zhongruo Wang, Bingyuan Liu, Shixiang Chen +3
Spectral clustering is one of the fundamental unsupervised learning methods widely used in data analysis. Sparse spectral clustering (SSC) imposes sparsity to the spectral clusteri…
math.ST2020★ 3 cited
Fisher's combined probability test for high-dimensional covariance matrices
Xiufan Yu, Danning Li, Lingzhou Xue
Testing large covariance matrices is of fundamental importance in statistical analysis with high-dimensional data. In the past decade, three types of test statistics have been stud…
math.OC2020★ 8 cited
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Bokun Wang, Shiqian Ma, Lingzhou Xue
Riemannian optimization has drawn a lot of attention due to its wide applications in practice. Riemannian stochastic first-order algorithms have been studied in the literature to s…