3 papers
cs.LG2026
Multi-Agent Conformal Prediction with Personalized Statistical Validity
Martin V. Vejling, Christophe A. N. Biscio, Adrien Mazoyer +2
Uncertainty quantification is essential in high-stakes machine learning tasks. However, one of the principled solutions, conformal prediction, faces challenges under limited local…
stat.ME2025
Conformal novelty detection for replicate point patterns with FDR or FWER control
Christophe A. N. Biscio, Adrien Mazoyer, Martin V. Vejling
Monte Carlo tests are widely used for computing valid p-values without requiring known distributions of test statistics. When performing multiple Monte Carlo tests, it is essential…
stat.ML2025
Conformal Object Detection by Sequential Risk Control
Léo andéol, Luca Mossina, Adrien Mazoyer +1
Recent advances in object detectors have led to their adoption for industrial uses. However, their deployment in safety-critical applications is hindered by the inherent lack of re…