4 papers
Graph Compression with Application to Model Selection
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang +1
Many multivariate data such as social and biological data exhibit complex dependencies that are best characterized by graphs. Unlike sequential data, graphs are, in general, unorde…
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang +1
A classic application of description length is for model selection with the minimum description length (MDL) principle. The focus of this paper is to extend description length for…
Differential Description Length for Hyperparameter Selection in Machine Learning
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang
This paper introduces a new method for model selection and more generally hyperparameter selection in machine learning. Minimum description length (MDL) is an established method fo…
Coding of Graphs with Application to Graph Anomaly Detection
Anders Host-Madsen, June Zhang
This paper has dual aims. First is to develop practical universal coding methods for unlabeled graphs. Second is to use these for graph anomaly detection. The paper develops two co…