Kernel-score divergences define a unified family of regression uncertainty measures whose kernel choice controls robustness, tail sensitivity, and OOD responsiveness.
Title resolution pending
1 Pith paper cite this work, alongside 24 external citations. Polarity classification is still indexing.
1
Pith paper citing it
24
external citations · OpenAlex
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores
Kernel-score divergences define a unified family of regression uncertainty measures whose kernel choice controls robustness, tail sensitivity, and OOD responsiveness.