Fairness in Ranking under Uncertainty

14 July 2021

Papers citing "Fairness in Ranking under Uncertainty"

28 / 28 papers shown

Title
The Price of Competitive Information Disclosure Siddhartha Banerjee Kamesh Munagala Yiheng Shen Kangning Wang 26 0 0 14 Apr 2025
The Hidden Cost of Waiting for Accurate Predictions Ali Shirali Ariel Procaccia Rediet Abebe 31 0 0 01 Mar 2025
Intuitions of Compromise: Utilitarianism vs. Contractualism Jared Moore Yejin Choi Sydney Levine 21 0 0 07 Oct 2024
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers Manh Khoi Duong Stefan Conrad UD FaML 32 0 0 19 Sep 2024
A Note on Bias to Complete Jia Xu Mona Diab 39 2 0 18 Feb 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions Siddartha Devic Aleksandra Korolova David Kempe Vatsal Sharan 22 4 0 14 Feb 2024
Fair Active Ranking from Pairwise Preferences Sruthi Gorantla Sara Ahmadian 14 0 0 05 Feb 2024
Ranking with Slot Constraints Wentao Guo Andrew Wang Bradon Thymes Thorsten Joachims 17 0 0 27 Oct 2023
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier Hua Tang Lu Cheng Ninghao Liu Mengnan Du FaML 21 1 0 19 Oct 2023
Sampling Individually-Fair Rankings that are Always Group Fair Sruthi Gorantla Anay Mehrotra Amit Deshpande Anand Louis FedML FaML 14 4 0 21 Jun 2023
Interpolating Item and User Fairness in Multi-Sided Recommendations Qinyi Chen Jason Cheuk Nam Liang Negin Golrezaei Djallel Bouneffouf FaML 8 2 0 12 Jun 2023
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance Jie Zhu Mengsha Hu Xueyao Liang Amy Zhang Ruoming Jin Rui Liu 11 1 0 07 Jun 2023
Calibrating Multimodal Learning Huanrong Zhang Changqing Zhang Bing Wu H. Fu Joey Tianyi Zhou Q. Hu 41 16 0 02 Jun 2023
Unfair Utilities and First Steps Towards Improving Them Frederik Hytting Jorgensen S. Weichwald J. Peters FaML 48 0 0 01 Jun 2023
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank Shashank Gupta Philipp Hager Jin Huang Ali Vardasbi Harrie Oosterhuis OffRL 17 5 0 04 May 2023
Learning to Re-rank with Constrained Meta-Optimal Transport Andrés Hoyos-Idrobo OffRL 11 0 0 29 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 29 11 0 07 Apr 2023
Fairness in Matching under Uncertainty Siddartha Devic David Kempe Vatsal Sharan Aleksandra Korolova FaML 13 6 0 08 Feb 2023
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 15 16 0 30 Nov 2022
Individual Fairness under Varied Notions of Group Fairness in Bipartite Matching - One Framework to Approximate Them All Atasi Panda Anand Louis Prajakta Nimbhorkar FaML 8 1 0 21 Aug 2022
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking Yuta Saito Thorsten Joachims 11 24 0 15 Jun 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters Bernd Bischl 12 5 0 19 May 2022
Sampling Ex-Post Group-Fair Rankings Sruthi Gorantla Amit Deshpande Anand Louis FedML 23 1 0 02 Mar 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings Till Kletti J. Renders P. Loiseau 11 17 0 07 Feb 2022
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank Yiling Jia Hongning Wang FaML OnRL 12 2 0 01 Nov 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models Gustavo Penha C. Hauff 159 30 0 12 Jan 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,143 0 23 Aug 2019
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 167 103 0 25 Oct 2016