The paper proposes Hierarchical Conformal Classification, a conformal prediction method that builds prediction sets from nodes of a label DAG with a finite-sample coverage guarantee, using a pruned search over non-overlapping leaf covers.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Hierarchical Conformal Classification
The paper proposes Hierarchical Conformal Classification, a conformal prediction method that builds prediction sets from nodes of a label DAG with a finite-sample coverage guarantee, using a pruned search over non-overlapping leaf covers.