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Found 4 papers, 4 papers with code
XGBoostLSS -- An extension of XGBoost to probabilistic forecasting
We propose a new framework of XGBoost that predicts the entire conditional distribution of a univariate response variable.
Distributional Gradient Boosting Machines
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.
Multi-Target XGBoostLSS Regression
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.
CatBoostLSS -- An extension of CatBoost to probabilistic forecasting
We propose a new framework of CatBoost that predicts the entire conditional distribution of a univariate response variable.
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