3 papers
cs.LG2025
Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction
Morteza Rakhshaninejad, Mira Jurgens, Nicolas Dewolf +1
Accurate drug-target interaction (DTI) prediction with machine learning models is essential for drug discovery. Such models should also provide a credible representation of their u…
stat.ML2024
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
Nicolas Dewolf
In the past decades, most work in the area of data analysis and machine learning was focused on optimizing predictive models and getting better results than what was possible with…
stat.ML2024
Conditional validity of heteroskedastic conformal regression
Nicolas Dewolf, Bernard De Baets, Willem Waegeman
Conformal prediction, and split conformal prediction as a specific implementation, offer a distribution-free approach to estimating prediction intervals with statistical guarantees…