2 papers
cs.LG2023
Conformal Prediction in Multi-User Settings: An Evaluation
Enrique Garcia-Ceja, Luciano Garcia-Banuelos, Nicolas Jourdan
Typically, machine learning models are trained and evaluated without making any distinction between users (e.g, using traditional hold-out and cross-validation). However, this prod…
cs.LG2023
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
Anton Winter, Nicolas Jourdan, Tristan Wirth +2
In safety-critical domains such as autonomous driving and medical diagnosis, the reliability of machine learning models is crucial. One significant challenge to reliability is conc…