Artificial Intelligence · Machine Learning Foundations
A topic within Machine Learning Foundations, itself one of 15 topics in that field and part of Artificial Intelligence.
2 works
Chen & Guestrin
Describes the sparsity-aware split finding, weighted quantile sketch and system-level engineering that made gradient boosting fast enough to dominate structured-data competitions.
link checked 17 Sept 2026Jerome H. Friedman
Casts boosting as gradient descent in function space, fitting each new tree to the negative gradient of an arbitrary loss and unifying regression and classification boosting under one framework.
link checked 17 Sept 2026