Stochastic Gradient Boosting, Jerome H. Friedman, 1999 (Stanford University) - Introduces the concept of stochastic gradient boosting by incorporating subsampling into the gradient boosting framework to improve generalization.
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 - Describes the design and implementation of XGBoost, a popular gradient boosting library, including its specific strategies for row and column subsampling for regularization and efficiency.