Pairwise Fairness for Ranking and Regression

12 June 2019

Harikrishna Narasimhan

Papers citing "Pairwise Fairness for Ranking and Regression"

50 / 59 papers shown

Title
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 27 0 0 18 May 2025
Evaluating and Mitigating Bias in AI-Based Medical Text Generation Xiuying Chen Tairan Wang Juexiao Zhou Zirui Song Xin Gao Xuzhi Zhang MedIm 52 1 0 24 Apr 2025
From Efficiency to Equity: Measuring Fairness in Preference Learning Shreeyash Gowaikar Hugo Berard Rashid Mushkani Shin Koseki 33 0 0 24 Oct 2024
10 Years of Fair Representations: Challenges and Opportunities Mattia Cerrato Marius Köppel Philipp Wolf Stefan Kramer FaML 41 3 0 04 Jul 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions Siddartha Devic Aleksandra Korolova David Kempe Vatsal Sharan 27 4 0 14 Feb 2024
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning Mingquan Lin Tianhao Li Zhaoyi Sun G. Holste Ying Ding Fei Wang George Shih Yifan Peng 27 2 0 25 Jan 2024
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Jakub Marecek 42 3 0 17 Oct 2023
Fairness in Ranking under Disparate Uncertainty Richa Rastogi Thorsten Joachims 40 3 0 04 Sep 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment Sen Cui Weishen Pan Changshui Zhang Fei Wang 21 10 0 27 Jul 2023
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints Shaojie Tang Jing Yuan FaML 27 12 0 13 Apr 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 42 6 0 13 Jan 2023
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms Yanhao Wang M. Mathioudakis Jia Li Francesco Fabbri 65 4 0 05 Jan 2023
Properties of Group Fairness Metrics for Rankings Tobias Schumacher Marlene Lutz Sandipan Sikdar M. Strohmaier 27 1 0 29 Dec 2022
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints Yao Yao Qihang Lin Tianbao Yang FaML 30 6 0 23 Dec 2022
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 30 5 0 14 Oct 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 23 1 0 12 Oct 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 38 17 0 22 Aug 2022
Invariant Representations with Stochastically Quantized Neural Networks Mattia Cerrato Marius Köppel Roberto Esposito Stefan Kramer MQ 34 4 0 04 Aug 2022
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking Kathleen Cachel Elke A. Rundensteiner Lane Harrison FaML 21 11 0 20 Jul 2022
FairFuse: Interactive Visual Support for Fair Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 26 2 0 15 Jul 2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation Xiang-jian Wang Qian Li Dianer Yu Guandong Xu CML LRM 24 16 0 14 Jul 2022
Demographic Parity Constrained Minimax Optimal Regression under Linear Model Kazuto Fukuchi Jun Sakuma 11 3 0 23 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 110 41 0 26 May 2022
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems Hossein A. Rahmani Mohammadmehdi Naghiaei M. Dehghan Mohammad Aliannejadi FaML 41 35 0 17 May 2022
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction Takayuki Katsuki Kohei Miyaguchi Akira Koseki T. Iwamori Ryosuke Yanagiya Atsushi Suzuki AI4TS 13 2 0 28 Apr 2022
Learning Distributionally Robust Models at Scale via Composite Optimization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi Amin Karbasi OOD 10 5 0 17 Mar 2022
Sampling Ex-Post Group-Fair Rankings Sruthi Gorantla Amit Deshpande Anand Louis FedML 38 1 0 02 Mar 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings Till Kletti J. Renders P. Loiseau 29 17 0 07 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors Mattia Cerrato A. Coronel Marius Köppel A. Segner Roberto Esposito Stefan Kramer FaML 14 5 0 07 Feb 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare Stephen R. Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 25 29 0 03 Feb 2022
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems Mostafa M. Mohamed Björn W. Schuller 27 5 0 02 Feb 2022
Fair Interpretable Learning via Correction Vectors Mattia Cerrato Marius Köppel A. Segner Stefan Kramer FaML CML 13 1 0 17 Jan 2022
Fair Group-Shared Representations with Normalizing Flows Mattia Cerrato M. Koppel A. Segner Stefan Kramer FedML FaML OOD 8 5 0 17 Jan 2022
Fairness for Robust Learning to Rank Omid Memarrast Ashkan Rezaei Rizal Fathony Brian Ziebart FaML 15 11 0 12 Dec 2021
A Pre-processing Method for Fairness in Ranking Ryosuke Sonoda 14 6 0 29 Oct 2021
Fair Regression under Sample Selection Bias Wei Du Xintao Wu Hanghang Tong 21 4 0 08 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 241 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 31 22 0 27 Aug 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 33 49 0 14 Jul 2021
Costs and Benefits of Fair Regression Han Zhao FaML 18 8 0 16 Jun 2021
Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints David García-Soriano Francesco Bonchi FaML 8 47 0 16 Jun 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 29 142 0 20 May 2021
Pairwise Fairness for Ordinal Regression Matthäus Kleindessner Samira Samadi Muhammad Bilal Zafar K. Kenthapadi Chris Russell FaML 27 9 0 07 May 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 106 230 0 21 Apr 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 25 129 0 21 Mar 2021
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi Yuan Tian Geoffrey J. Gordon Han Zhao 29 25 0 24 Feb 2021
Fairness Through Regularization for Learning to Rank Nikola Konstantinov Christoph H. Lampert FaML 21 10 0 11 Feb 2021
Regularization Strategies for Quantile Regression Taman Narayan S. Wang K. Canini Maya R. Gupta 7 0 0 09 Feb 2021
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets Lequn Wang Thorsten Joachims FaML 18 59 0 04 Oct 2020
On the Problem of Underranking in Group-Fair Ranking Sruthi Gorantla Amit Deshpande Anand Louis FaML 27 3 0 24 Sep 2020