Post-hoc calibration of miscalibrated black-box predictions on a labeled sample improves efficiency of prediction-powered inference for semisupervised mean estimation.
Its influence function is the difference of the two arm-specific AIPW influences, Dτ(O) = ˜m1(X)−µ 1 + A π1 Y−˜m 1(X) − ˜m0(X)−µ 0 + 1−A π0 Y−˜m 0(X)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Calibeating Prediction-Powered Inference
Post-hoc calibration of miscalibrated black-box predictions on a labeled sample improves efficiency of prediction-powered inference for semisupervised mean estimation.