Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees.

Jingwei Kang|Maarten de Rijke|Harrie Oosterhuis


Anthology ID:DBLP:conf/sigir/KangRO24
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2390-2394
URL:https://doi.org/10.1145/3626772.3657918
DOI:https://doi.org/10.1145/3626772.3657918
DBLP:conf/sigir/KangRO24
BibTeX:
@inproceedings{kang-2024-estimating, author = {Jingwei Kang and Maarten de Rijke and Harrie Oosterhuis}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {2390--2394}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657918}, doi = {https://doi.org/10.1145/3626772.3657918} }