Algorithmic Learning in a Random World¶
Vovk, V., Gammerman, A., & Shafer, G. 1. (2005). Algorithmic Learning in a Random World. Springer.
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Primes¶
- Out Of Distribution Detection
- Conformal prediction formalizes the same coupling differently, emitting a prediction set whose size grows as the input drifts from the calibration data, so the system's own output width signals departure from competence.
This sourceFoundational text on conformal prediction, which emits set-valued (region) predictions with validity guarantees; prediction-set size grows for inputs that conform poorly to the calibration data, signaling drift from the training distribution.
- Conformal prediction formalizes the same coupling differently, emitting a prediction set whose size grows as the input drifts from the calibration data, so the system's own output width signals departure from competence.
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