72%Highly rated
?Highly ratedVote to see the score
Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
Multi-variable conformal prediction extends calibration to vector-valued scores with multiple variables, removing data splitting while preserving coverage and yielding smaller, more stable prediction sets.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
– ReadersNo votes yet
8/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 0/5