research
∙
01/12/2023
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes
Variational inference has been widely used in machine learning literatur...
share
research
∙
06/05/2021
Network Estimation by Mixing: Adaptivity and More
Networks analysis has been commonly used to study the interactions betwe...
research
∙
07/01/2020
Linear regression and its inference on noisy network-linked data
Linear regression on a set of observations linked by a network has been ...
research
∙
01/26/2018
Concentration of random graphs and application to community detection
Random matrix theory has played an important role in recent work on stat...
research
∙
10/13/2017
Edge sampling using network local information
Edge sampling is an important topic in network analysis. It provides a n...
research
∙
10/13/2017
Estimating a network from multiple noisy realizations
Complex interactions between entities are often represented as edges in ...
research
∙
07/03/2015
Estimating the number of communities in networks by spectral methods
Community detection is a fundamental problem in network analysis with ma...
research
∙
05/31/2014