118 citations · 602 across the 43 of their papers we have counts for
5 papers · 2 filters
Universally consistent vertex classification for latent positions graphs
Minh Tang, Daniel L. Sussman, Carey E. Priebe
In this work we show that, using the eigen-decomposition of the adjacency matrix, we can consistently estimate feature maps for latent position graphs with positive definite link f…
Statistical inference on errorfully observed graphs
Carey E. Priebe, Daniel L. Sussman, Minh Tang +1
Statistical inference on graphs is a burgeoning field in the applied and theoretical statistics communities, as well as throughout the wider world of science, engineering, business…
Generalized Canonical Correlation Analysis for Disparate Data Fusion
Ming Sun, Carey E. Priebe, Minh Tang
Manifold matching works to identify embeddings of multiple disparate data spaces into the same low-dimensional space, where joint inference can be pursued. It is an enabling method…
Universally Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs
Daniel L. Sussman, Minh Tang, Carey E. Priebe
In this work we show that, using the eigen-decomposition of the adjacency matrix, we can consistently estimate latent positions for random dot product graphs provided the latent po…
On latent position inference from doubly stochastic messaging activities
Nam H. Lee, Jordan Yoder, Minh Tang +1
We model messaging activities as a hierarchical doubly stochastic point process with three main levels, and develop an iterative algorithm for inferring actors' relative latent pos…