1 code implementation • 6 Jul 2019 • Alexander März
We propose a new framework of XGBoost that predicts the entire conditional distribution of a univariate response variable.
1 code implementation • 4 Jan 2020 • Alexander März
We propose a new framework of CatBoost that predicts the entire conditional distribution of a univariate response variable.
2 code implementations • 2 Apr 2022 • Alexander März, Thomas Kneib
We present a unified probabilistic gradient boosting framework for regression tasks that models and predicts the entire conditional distribution of a univariate response variable as a function of covariates.
1 code implementation • 13 Oct 2022 • 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 multivariate settings.