Title
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 22 0 0 18 May 2025
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation Samira Vaez Barenji Sushobhan Parajuli Michael D. Ekstrand MLAU 52 0 0 07 May 2025
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization Hongxu Wang Zhu Sun Yingpeng Du Lu Zhang Tiantian He Yew-Soon Ong 61 0 0 18 Feb 2025
Social Choice for Heterogeneous Fairness in Recommendation Amanda A. Aird Elena Stefancova Cassidy All A. Voida Martin Homola Nicholas Mattei Robin Burke FaML 58 0 0 06 Oct 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 47 1 0 09 Jun 2024
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images Shicheng Xu Danyang Hou Liang Pang Jingcheng Deng Jun Xu Huawei Shen Xueqi Cheng 26 8 0 23 Nov 2023
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 29 11 0 05 Sep 2023
Matched Pair Calibration for Ranking Fairness Hannah Korevaar Christopher McConnell Edmund Tong Erik Brinkman Alana Shine Misam Abbas Blossom Metevier S. Corbett-Davies Khalid El-Arini 24 1 0 06 Jun 2023
The Role of Relevance in Fair Ranking Aparna Balagopalan Abigail Z. Jacobs Asia J. Biega 33 8 0 09 May 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
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint Chia-Yuan Chang Jiayi Yuan Sirui Ding Qiaoyu Tan Kai Zhang Xiaoqian Jiang Xia Hu Na Zou FaML 34 9 0 24 Mar 2023
Linking convolutional kernel size to generalization bias in face analysis CNNs Hao Liang J. O. Caro Vikram Maheshri Ankit B. Patel Guha Balakrishnan CVBM CML 23 0 0 07 Feb 2023
Matrix Estimation for Individual Fairness Cindy Y. Zhang Sarah H. Cen Devavrat Shah FaML 36 4 0 04 Feb 2023
Learning with Exposure Constraints in Recommendation Systems Omer Ben-Porat Rotem Torkan 24 12 0 02 Feb 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 32 7 0 18 Jan 2023
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 38 4 0 13 Dec 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 20 1 0 12 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems Zhengbang Zhu Rongjun Qin Junjie Huang Xinyi Dai Yang Yu Yong Yu Weinan Zhang 46 2 0 11 Oct 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 33 17 0 22 Aug 2022
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design Zhilong Chen J. Piao Xiaochong Lan Hancheng Cao Chen Gao Zhicong Lu Yong Li 38 9 0 08 Aug 2022
Debiased Cross-modal Matching for Content-based Micro-video Background Music Recommendation Jin Yi Zhenzhong Chen 41 1 0 07 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
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning Tao Qi Fangzhao Wu Chuhan Wu Lingjuan Lyu Tongye Xu Zhongliang Yang Yongfeng Huang Xing Xie FedML 39 36 0 07 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 27 22 0 30 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
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 22 7 0 05 May 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings Cheng-Te Li Cheng-Mao Hsu Yang Zhang FaML 27 35 0 30 Apr 2022
Cross Pairwise Ranking for Unbiased Item Recommendation Qi Wan Xiangnan He Xiang Wang Jiancan Wu Wei Guo Ruiming Tang CML 27 36 0 26 Apr 2022
Sampling Ex-Post Group-Fair Rankings Sruthi Gorantla Amit Deshpande Anand Louis FedML 35 1 0 02 Mar 2022
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations Laura Schelenz Ivano Bison Matteo Busso A. D. Gotzen D. Gática-Pérez Fausto Giunchiglia L. Meegahapola Salvador Ruiz Correa 20 26 0 23 Feb 2022
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
IMDB-WIKI-SbS: An Evaluation Dataset for Crowdsourced Pairwise Comparisons Nikita Pavlichenko Dmitry Ustalov 26 9 0 28 Oct 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu Qing Guo FaML 157 95 0 12 Sep 2021
Estimation of Fair Ranking Metrics with Incomplete Judgments Ömer Kirnap Fernando Diaz Asia J. Biega Michael D. Ekstrand Ben Carterette Emine Yilmaz 24 37 0 11 Aug 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 33 49 0 14 Jul 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning Yuyan Wang Xuezhi Wang Alex Beutel Flavien Prost Jilin Chen Ed H. Chi FaML 27 47 0 04 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
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 104 230 0 21 Apr 2021
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers Yao Wu Jian Cao Guandong Xu Yudong Tan FaML 27 84 0 19 Apr 2021
Fairness and Transparency in Recommendation: The Users' Perspective Nasim Sonboli Jessie J. Smith Florencia Cabral Berenfus Robin Burke Casey Fiesler FaML 28 65 0 16 Mar 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 24 49 0 03 Mar 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 54 55 0 16 Feb 2021
On the Problem of Underranking in Group-Fair Ranking Sruthi Gorantla Amit Deshpande Anand Louis FaML 24 3 0 24 Sep 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 33 108 0 20 Jul 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 12 204 0 03 Jun 2020
Controlling Fairness and Bias in Dynamic Learning-to-Rank Marco Morik Ashudeep Singh Jessica Hong Thorsten Joachims 14 206 0 29 May 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems Chang Zhou Jianxin Ma Jianwei Zhang Jingren Zhou Hongxia Yang 31 142 0 20 May 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 46 51 0 06 Jan 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 675 0 17 Feb 2018