most citedProbabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression

41 citations · 41 across the 1 of their papers we have counts for

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cs.LG2021★ 41 cited

Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression

Olivier Sprangers, Sebastian Schelter, Maarten de Rijke

Gradient Boosting Machines (GBM) are hugely popular for solving tabular data problems. However, practitioners are not only interested in point predictions, but also in probabilisti…