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.
N.; Bates, S.; Jordan, M.; and Malik, J
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
support 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.