arXiv stat.ML
· Papers
Parallel gradient boosting for flexible estimation of conditional distributions
arXiv:2607.13550v1 Announce Type: new Abstract: Boosting is one of the most successful learning techniques for standard classification and regression tasks. Its extension to multi-output prediction problems has found an increasing number of applications in recent years. Among them is the prediction of entire conditiona