2 citations · 5 across the 8 of their papers we have counts for
11 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…
Bounds for Learning Lossless Source Coding
Anders Host-Madsen
This paper asks a basic question: how much training is required to beat a universal source coder? Traditionally, there have been two types of source coders: fixed, optimum coders s…
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…
Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method
Elyas Sabeti, Anders Høst-Madsen
Heart rate variability (HRV) is a vital measure of the autonomic nervous system functionality and a key indicator of cardiovascular condition. This paper proposes a novel method, c…