2023
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
AISTATS 2023poster
Reliably estimating the uncertainty of a prediction throughout the model lifecycle is crucial in many safety-critical applications. The most common way to measure this uncertainty is via the predicted confidence. While this tends to work well for in-domain samples, these estimates are unreliable und…