Uncertainty Quantification for Fairness in Two-Stage Recommender Systems

30 May 2022

Papers citing "Uncertainty Quantification for Fairness in Two-Stage Recommender Systems"

10 / 10 papers shown

Title
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems Xiaopeng Ye Chen Xu Jun Xu Xuyang Xie Gang Wang Zhenhua Dong FaML 57 0 0 20 Apr 2025
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space Klaudia Balcer Piotr Lipinski 32 0 0 14 Apr 2025
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation Hyunsik Jeon Se-eun Yoon Julian McAuley 37 1 0 04 Aug 2024
Fairness in Ranking under Disparate Uncertainty Richa Rastogi Thorsten Joachims 35 3 0 04 Sep 2023
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making Kate Donahue Sreenivas Gollapudi Kostas Kollias 24 3 0 22 Aug 2023
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification Le-le Cao Vilhelm von Ehrenheim Mark Granroth-Wilding Richard Anselmo Stahl Andrew McCornack Armin Catovic Dhiana Deva Cavalcanti Rocha 35 3 0 18 Jun 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks He Zhang Xingliang Yuan Shirui Pan 33 11 0 30 Jan 2023
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 27 18 0 02 Feb 2022
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 184 186 0 07 Jan 2021
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,123 0 25 Jul 2012