7 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 4 cited
Multi-Target XGBoostLSS Regression
Alexander März
Current implementations of Gradient Boosting Machines are mostly designed for single-target regression tasks and commonly assume independence between responses when used in multiva…
stat.ML2020★ 7 cited
CatBoostLSS -- An extension of CatBoost to probabilistic forecasting
Alexander März
We propose a new framework of CatBoost that predicts the entire conditional distribution of a univariate response variable. In particular, CatBoostLSS models all moments of a param…
stat.ML2019
XGBoostLSS -- An extension of XGBoost to probabilistic forecasting
Alexander März
We propose a new framework of XGBoost that predicts the entire conditional distribution of a univariate response variable. In particular, XGBoostLSS models all moments of a paramet…