5 papers
Consistency of Lloyd's Algorithm Under Perturbations
Dhruv Patel, Hui Shen, Shankar Bhamidi +2
In the context of unsupervised learning, Lloyd's algorithm is one of the most widely used clustering algorithms. It has inspired a plethora of work investigating the correctness of…
Minority representation and fairness in network ranking: An application to school contact diary data
Hui Shen, Peter W. MacDonald, Eric D. Kolaczyk
Considerations of bias, fairness and representation are a prerequisite of responsible modern statistics. In statistical network analysis, observed networks are often incomplete or…
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
Yipu Zhang, Chengshuo Zhang, Ziyu Zhou +5
Data privacy constraints pose significant challenges for large-scale neuroimaging analysis, especially in multi-site functional magnetic resonance imaging (fMRI) studies, where sit…
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem
Qiang Heng, Hui Shen, Kenneth Lange
The Minimum Covariance Determinant (MCD) method is a widely adopted tool for robust estimation and outlier detection. In this paper, we introduce MCD model selection based on the n…
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
Yipu Zhang, Likai Wang, Kuan-Jui Su +7
Resting-state functional magnetic resonance imaging (rs-fMRI) and its derived functional connectivity networks (FCNs) have become critical for understanding neurological disorders.…