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XGBoost: A Scalable Tree Boosting System

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Authors: Tianqi Chen, Carlos Guestrin
Year: 2014
Journal: KDD
DOI: 10.1145/2939672.2939785
Publisher: https://arxiv.org/abs/1603.02754

Keywords: xgboost, gradient boosting

Abstract

We propose a novel sparsity-aware algorithm for sparse data and a theoretically justified weighted quantile sketch for approximate tree learning.

Cite this paper

bibtex
@misc{xgboost2014,
  title  = {XGBoost: A Scalable Tree Boosting System},
  author = {Tianqi Chen, Carlos Guestrin},
  year   = {2014},
  journal = {KDD},
  doi    = {10.1145/2939672.2939785},
  url    = {https://doi.org/10.1145/2939672.2939785},
}

Source files

Released under the MIT License.