118 citations · 602 across the 43 of their papers we have counts for
50 papers
Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction
Michael W. Trosset, Kaiyi Tan, Minh Tang +1
The problem of using proximity (similarity or dissimilarity) data for the purpose of "adding a point to a vector diagram" was first studied by J.C. Gower in 1968. Since then, a num…
Chain-linked multiple matrix integration via embedding alignment
Runbing Zheng, Minh Tang
Motivated by the increasing demand for multi-source data integration in various scientific fields, in this paper we study matrix completion in scenarios where the data exhibits cer…
Independence testing for inhomogeneous random graphs
Yukun Song, Carey E. Priebe, Minh Tang
Testing for independence between graphs is a problem that arises naturally in social network analysis and neuroscience. In this paper, we address independence testing for inhomogen…
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method
Sheyda Peyman, Minh Tang, Vince Lyzinski
As graph data becomes more ubiquitous, the need for robust inferential graph algorithms to operate in these complex data domains is crucial. In many cases of interest, inference is…
Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA
Runbing Zheng, Minh Tang
Several statistical problems, such as multiple heterogeneous graph analysis, distributed PCA, integrative data analysis, and simultaneous dimension reduction of images, can involve…
Perturbation Analysis of Randomized SVD and its Applications to Statistics
Yichi Zhang, Minh Tang
Randomized singular value decomposition (RSVD) is a class of computationally efficient algorithms for computing the truncated SVD of large data matrices. Given an matr…