Stat.ML

Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity
Differential graphical models are designed to represent the difference between the conditional dependence structures of two groups, and …
Cite DOI arXiv
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Graph representation learning is a ubiquitous task in machine learning where the goal is to embed each vertex into a low-dimensional …
Cite URL arXiv
High-dimensional Varying Index Coefficient Models via Stein's Identity
We study the parameter estimation problem for a varying index coefficient model in high dimensions. Unlike the most existing works that …
Cite URL arXiv