XGBoost: A Scalable Tree Boosting System, Tianqi Chen and Carlos Guestrin, 2016Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM)DOI: 10.1145/2939672.2939785 - Foundational paper introducing XGBoost, detailing its exact greedy algorithm, regularization, and system optimizations.
LightGBM: A Highly Efficient Gradient Boosting Decision Tree, Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu, 2017Advances in Neural Information Processing Systems, Vol. 30 (Curran Associates, Inc.) - Introduces LightGBM and its innovations like GOSS, EFB, and the optimized histogram algorithm, addressing XGBoost's limitations.
LightGBM Documentation, Microsoft and LightGBM Contributors, 2024 - Official documentation providing detailed explanations of LightGBM's algorithms, parameters, and usage, including GOSS, EFB, and histogram-based learning.
XGBoost Documentation, XGBoost Contributors, 2024 - Official documentation covering XGBoost's algorithms, including the exact and approximate greedy algorithms, and its system optimizations.