A category-theoretic analysis represents conformal prediction as morphisms in stability and measurability categories, proves a commuting diagram decomposition into predictive distribution extraction and region derivation, and shows asymptotic compatibility with Bayesian predictive densities plus e-p
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
C-SymmPI reformulates conditional coverage as miscoverage error over a user-specified function class to deliver near-conditional guarantees under group symmetries and distributional invariance.
citing papers explorer
-
A Category-Theoretic Analysis of Conformal Prediction
A category-theoretic analysis represents conformal prediction as morphisms in stability and measurability categories, proves a commuting diagram decomposition into predictive distribution extraction and region derivation, and shows asymptotic compatibility with Bayesian predictive densities plus e-p
-
Conditional Predictive Inference for General Structured Data with Group Symmetries
C-SymmPI reformulates conditional coverage as miscoverage error over a user-specified function class to deliver near-conditional guarantees under group symmetries and distributional invariance.