Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts

Quentin Duchemin, Guillaume Obozinski

The perspective of developing trustworthy AI for critical applications in science and engineering requires machine learning techniques that are capable of estimating their own unce…