2 papers
cs.LG2026
On the QUEST for Uncertainty Quantification via Highest Density Regions
Sam Goring, Tom Kuipers, Nicola Paoletti +1
Uncertainty quantification (UQ) is essential for reliable decision-making in safety-critical applications in probabilistic machine learning. For regression problems, dominant scala…
cs.LO2024
Verifiably Robust Conformal Prediction
Linus Jeary, Tom Kuipers, Mehran Hosseini +1
Conformal Prediction (CP) is a popular uncertainty quantification method that provides distribution-free, statistically valid prediction sets, assuming that training and test data…