Cited By
View all- Kang Jde Rijke MOosterhuis HHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted TreesProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657918(2390-2394)Online publication date: 10-Jul-2024
- Hager PDeffayet RRenders JZoeter Ode Rijke MHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search DatasetProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657892(1546-1556)Online publication date: 10-Jul-2024
- Yang THan CLuo CGupta PPhillips JAi QChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes ApproachProceedings of the ACM Web Conference 202410.1145/3589334.3645487(1486-1496)Online publication date: 13-May-2024
- Show More Cited By