Minimax Pareto Fairness: A Multi Objective Perspective

3 November 2020

Papers citing "Minimax Pareto Fairness: A Multi Objective Perspective"

50 / 120 papers shown

Title
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 39 0 0 16 Apr 2025
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles Dawood Wasif T. Moore Jin-Hee Cho 50 0 0 20 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning Haoyu Lei Shizhan Gong Qi Dou Farzan Farnia FedML 64 0 0 19 Mar 2025
COPA: Comparing the Incomparable to Explore the Pareto Front Adrián Javaloy Antonio Vergari Isabel Valera 62 0 0 18 Mar 2025
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 73 0 0 05 Dec 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen A. F. M. Saif Yanning Shen Tianyi Chen 73 2 0 02 Dec 2024
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 40 0 0 05 Nov 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior Xuanqian Wang Jing Li Ivor Tsang Yew-Soon Ong 31 1 0 04 Nov 2024
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes Jake Robertson Thorsten Schmidt Frank Hutter Noor H. Awad 38 0 0 17 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 146 1 0 05 Oct 2024
Minimax Group Fairness in Strategic Classification Emily Diana Saeed Sharifi-Malvajerdi A. Vakilian FaML 39 0 0 03 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 37 0 0 30 Sep 2024
Aligning (Medical) LLMs for (Counterfactual) Fairness Raphael Poulain Hamed Fayyaz Rahmatollah Beheshti 34 3 0 22 Aug 2024
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification Sreeraj Ramachandran A. Rattani 37 1 0 14 Jul 2024
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations Qi Guo Minghao Yao Zhen Tian Saiyu Qi Yong Qi Yun Lin Jin Song Dong 30 0 0 02 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 61 3 0 30 Jun 2024
Addressing Polarization and Unfairness in Performative Prediction Kun Jin Tian Xie Yang Liu Xueru Zhang 49 2 0 24 Jun 2024
Resource-constrained Fairness Sofie Goethals Eoin Delaney Brent Mittelstadt Christopher Russell FaML 86 1 0 03 Jun 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality Sai Li Linjun Zhang OOD FaML 64 1 0 02 Apr 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin Xiao-Yan Zhang Zhiyuan Yang Fei Liu Zhenkun Wang Qingfu Zhang 35 16 0 29 Feb 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models Cyrus Cousins I. E. Kumar Suresh Venkatasubramanian FedML 36 1 0 29 Feb 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 47 1 0 28 Feb 2024
Achievable Fairness on Your Data With Utility Guarantees Muhammad Faaiz Taufiq Jean-François Ton Yang Liu 29 1 0 27 Feb 2024
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 40 2 0 22 Feb 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 46 2 0 20 Feb 2024
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning Ira Globus-Harris Declan Harrison Michael Kearns Pietro Perona Aaron Roth FedML 27 0 0 16 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 25 5 0 09 Feb 2024
The Limits of Fair Medical Imaging AI In The Wild Yuzhe Yang Haoran Zhang Judy W. Gichoya Dina Katabi Marzyeh Ghassemi 28 6 0 11 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification Jiayi Li Rohan Taori Tatsunori Hashimoto VLM 32 0 0 01 Dec 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning Kangkang Sun Xiaojin Zhang Xi Lin Gaolei Li Jing Wang Jianhua Li 45 4 0 30 Nov 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 33 4 0 21 Nov 2023
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics Carlos Mougan Joshua Brand 31 0 0 09 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 27 2 0 05 Nov 2023
Responsible AI (RAI) Games and Ensembles Yash Gupta Runtian Zhai A. Suggala Pradeep Ravikumar 18 0 0 28 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 21 14 0 08 Oct 2023
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models Zoe De Simone Angie Boggust Arvindmani Satyanarayan Ashia Wilson 36 1 0 18 Sep 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 35 2 0 13 Sep 2023
Optimization on Pareto sets: On a theory of multi-objective optimization Abhishek Roy Geelon So Yining Ma 43 7 0 04 Aug 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities Alexander X. Oesterling Jiaqi Ma Flavio du Pin Calmon Hima Lakkaraju FaML MU 31 19 0 27 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Towards Environmentally Equitable AI via Geographical Load Balancing Pengfei Li Jianyi Yang Adam Wierman Shaolei Ren 32 8 0 20 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 29 1 0 11 Jun 2023
Learning Rate Free Sampling in Constrained Domains Louis Sharrock Lester W. Mackey Christopher Nemeth 41 2 0 24 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 56 10 0 13 Apr 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift Ke Yang A. Meliou 34 0 0 30 Mar 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics Leonardo Iurada S. Bucci Timothy M. Hospedales Tatiana Tommasi 27 0 0 25 Mar 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 23 5 0 11 Feb 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness Daniel E. Rigobon FaML 25 1 0 07 Feb 2023
An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem Gang Qiao Ambuj Tewari 22 0 0 03 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 31 21 0 02 Feb 2023