XGBoost: A Scalable Tree Boosting System
Work-level record. Its arXiv versions and any conference or journal version are listed as sources, each with its own date. A citation to the work does not identify which version the citing author read.
- Issued by
- No issuing record yet. A missing record is a gap in coverage.
- Authors credited
- No authorship claim recorded yet. The source records list arXiv, Crossref, Tianqi Chen and Carlos Guestrin.
- Dates
- No date claim recorded yet. The source records give the publication date as 2016-03-09 and 2016.
- Exact source
- XGBoost: A Scalable Tree Boosting System arXiv · published 2016-03-09 · arXiv abstract page, retrieved for the candidate pack on 2026-10-28 (SHA-256 28db67e85500f759ce9fd8ee67a1dc50fd0d84565db3ff2ce6a51d1c083ab57b). Submission history as arXiv records it (UTC): v1 9 March 2016; v2 23 May 2016; v3 10 June 2016. The page serves the latest version; each version is a separate expression, and only the one a record names was read.
- XGBoost: A Scalable Tree Boosting System Crossref · published 2016 · Crossref record of the conference version: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785-794 (DOI 10.1145/2939672.2939785), retrieved for the candidate pack on 2026-10-28. The date is the publisher-deposited date, kept at year precision; it was not checked against the issue.
- XGBoost: A Scalable Tree Boosting System arXiv · published 2016-03-09 · arXiv:1603.02754v1, submitted 9 March 2016 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 6efbbcf077f2a0344bddb5777a6cd74263a2860e05e55d4be6ca1db911f7c2b5). The author list is the byline as printed on the first page.
Appears in
No collection holds a record about this document yet.
Versions
No other versions of this document are recorded. The evidence applies to the source version listed above. Other versions, such as a preprint, working paper or journal publication, are not identified or substituted.
Documentary relations
Each relation is listed separately. Citing, crediting and reporting the use of a method are different acts, and none of them shows agreement or influence by itself.
Not recorded for this document: cites · cited by · explicitly credits · reports using a method from · method reported as used by · applies parts of · parts applied by · discusses · reports evaluation of. A missing record does not show that the relation does not exist.
What the document says it adds
The document’s own description of its contribution, quoted from the version each row names. A claim to be the first is the document’s claim; Selekoa does not assess it.
- In its own wordsThe paper describes XGBoost, a scalable machine learning system for tree boosting.“In this paper, we describe XGBoost, a scalable machine learning system for tree boosting.” arXiv v1, PDF p. 1, §1 Introduction, para. 32016-03-09 · publication · Stated in source · Supported Inspect claim & evidence ↗
- In its own wordsThe paper proposes a sparsity-aware algorithm for sparse data and a weighted quantile sketch for approximate tree learning.“We propose a novel sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning.” arXiv v1, PDF p. 1, abstract2016-03-09 · publication · Stated in source · Supported Inspect claim & evidence ↗