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cs.LG2024
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen, Chenghua Guo, Rui Xu +6
Graphical models have demonstrated their exceptional capabilities across numerous applications. However, their performance, confidence, and trustworthiness are often limited by the…
cs.LG2024
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model
Rui Xu, Yue Sun, Chao Chen +2
Uncertainty is critical to reliable decision-making with machine learning. Conformal prediction (CP) handles uncertainty by predicting a set on a test input, hoping the set to cove…