3 papers
cs.LG2024
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks
Yujia Wu, Bo Yang, Yang Zhao +3
Graph Neural Networks (GNNs) have become the de facto standard for analyzing graph-structured data, leveraging message-passing techniques to capture both structural and node featur…
cs.LG2024
Conditional Prediction ROC Bands for Graph Classification
Yujia Wu, Bo Yang, Elynn Chen +2
Graph classification in medical imaging and drug discovery requires accuracy and robust uncertainty quantification. To address this need, we introduce Conditional Prediction ROC (C…
stat.ME2024
Quantifying Uncertainty in Classification Performance: ROC Confidence Bands Using Conformal Prediction
Zheshi Zheng, Bo Yang, Peter Song
To evaluate a classification algorithm, it is common practice to plot the ROC curve using test data. However, the inherent randomness in the test data can undermine our confidence…