Showing stat.MLShow all
2 papers · 1 filter
stat.ML2026
Conformal Prediction for Long-Tailed Classification
Tiffany Ding, Jean-Baptiste Fermanian, Joseph Salmon
Many real-world classification problems, such as plant identification, have extremely long-tailed class distributions. In order for prediction sets to be useful in such settings, t…
stat.ML2025
Class conditional conformal prediction for multiple inputs by p-value aggregation
Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
Conformal prediction methods are statistical tools designed to quantify uncertainty and generate predictive sets with guaranteed coverage probabilities. This work introduces an inn…