2020
Statistical and Computational Rates in Graph Logistic Regression
AISTATS 2020poster
We consider the problem of graph logistic regression, based on partial observation of a large network, and on side information associated to its vertices. The generative model is formulated as a matrix logistic regression. The performance of the model is analyzed in a high-dimensional regime under a…