Uncertainty, predictive performance, and data dispersion can be cleanly separated through a decision-theoretic lens, and BALD is best seen as an estimator of short-run parameter information gain rather than a direct measure of reducible predictive uncertainty.
Making better use of unlabelled data in Bayesian active learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Rethinking Aleatoric and Epistemic Uncertainty
Uncertainty, predictive performance, and data dispersion can be cleanly separated through a decision-theoretic lens, and BALD is best seen as an estimator of short-run parameter information gain rather than a direct measure of reducible predictive uncertainty.