Pairwise Fairness for Ranking and Regression

Pairwise Fairness for Ranking and Regression

12 June 2019

Harikrishna Narasimhan

Papers citing "Pairwise Fairness for Ranking and Regression"

19 / 19 papers shown

Title
Evaluating and Mitigating Bias in AI-Based Medical Text Generation Xiuying Chen Tairan Wang Juexiao Zhou Zirui Song Xin Gao X. Zhang MedIm 39 1 0 24 Apr 2025
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints Shaojie Tang Jing Yuan FaML 11 12 0 13 Apr 2023
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations Flavien Prost Ben Packer Jilin Chen Li Wei Pierre-Antoine Kremp ... Tulsee Doshi Tonia Osadebe Lukasz Heldt Ed H. Chi Alex Beutel 10 5 0 14 Oct 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 18 1 0 12 Oct 2022
Invariant Representations with Stochastically Quantized Neural Networks Mattia Cerrato Marius Köppel Roberto Esposito Stefan Kramer MQ 19 4 0 04 Aug 2022
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking Kathleen Cachel Elke A. Rundensteiner Lane Harrison FaML 14 11 0 20 Jul 2022
FairFuse: Interactive Visual Support for Fair Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 16 2 0 15 Jul 2022
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems Hossein A. Rahmani Mohammadmehdi Naghiaei M. Dehghan Mohammad Aliannejadi FaML 33 35 0 17 May 2022
Sampling Ex-Post Group-Fair Rankings Sruthi Gorantla Amit Deshpande Anand Louis FedML 33 1 0 02 Mar 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings Till Kletti J. Renders P. Loiseau 19 17 0 07 Feb 2022
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems Mostafa M. Mohamed Björn W. Schuller 11 5 0 02 Feb 2022
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 240 0 01 Oct 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 21 22 0 27 Aug 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 28 49 0 14 Jul 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 8 142 0 20 May 2021
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation André M. Carrington D. Manuel Paul Fieguth T. Ramsay V. Osmani ... S. Hawken M. McInnes Olivia Magwood Yusuf Sheikh Andreas Holzinger 17 127 0 21 Mar 2021
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi Yuan Tian Geoffrey J. Gordon Han Zhao 16 25 0 24 Feb 2021
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 27 118 0 21 Feb 2020
Interventions for Ranking in the Presence of Implicit Bias L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi 19 64 0 23 Jan 2020