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cs.LG2026
Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Study
Chorok Lee
Conformal prediction provides distribution-free coverage guarantees, but these degrade under distribution shift - and practitioners lack tools to anticipate which deployed models w…
cs.LG2026
Decomposing Uncertainty in Probabilistic Knowledge Graph Embeddings: Why Entity Variance Is Not Enough
Chorok Lee
Probabilistic knowledge graph embeddings represent entities as distributions, using learned variances to quantify epistemic uncertainty. We identify a fundamental limitation: these…