A split-sample conformal method certifies, with probability at least 1-alpha, that a learned treatment policy's treatment risk stays below tau under bounded miscalibration of assignment or selection odds.
Distribution-free, risk-controlling prediction sets
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning Treatment Allocations with Risk Control Under Partial Identifiability
A split-sample conformal method certifies, with probability at least 1-alpha, that a learned treatment policy's treatment risk stays below tau under bounded miscalibration of assignment or selection odds.