Picture for Genevera I. Allen

Genevera I. Allen

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices

Add code
Jun 05, 2025
Viaarxiv icon

Are machine learning interpretations reliable? A stability study on global interpretations

Add code
May 21, 2025
Viaarxiv icon

Cluster Quilting: Spectral Clustering for Patchwork Learning

Add code
Jun 19, 2024
Viaarxiv icon

Fair MP-BOOST: Fair and Interpretable Minipatch Boosting

Add code
Apr 01, 2024
Viaarxiv icon

Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates

Add code
Oct 06, 2023
Viaarxiv icon

Data Augmentation via Subgroup Mixup for Improving Fairness

Add code
Sep 13, 2023
Viaarxiv icon

Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities

Add code
Aug 02, 2023
Figure 1 for Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Figure 2 for Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Figure 3 for Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Figure 4 for Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Viaarxiv icon

Nonparanormal Graph Quilting with Applications to Calcium Imaging

Add code
May 22, 2023
Viaarxiv icon

Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity

Add code
Sep 17, 2022
Figure 1 for Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity
Figure 2 for Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity
Figure 3 for Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity
Figure 4 for Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity
Viaarxiv icon

Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance

Add code
Jun 05, 2022
Figure 1 for Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance
Figure 2 for Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance
Figure 3 for Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance
Figure 4 for Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance
Viaarxiv icon