Multi-variable conformal prediction unifies the design and calibration of prediction sets into a single optimization problem without data splitting while preserving finite-sample coverage guarantees.
Reachability of uncertain linear systems using zonotopes , year =
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
stat.ML 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
Multi-variable conformal prediction unifies the design and calibration of prediction sets into a single optimization problem without data splitting while preserving finite-sample coverage guarantees.