Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach

3 August 2020

Papers citing "Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach"

31 / 31 papers shown

Title
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems Gökhan Özbulak Oscar Jimenez-del-Toro Maíra Fatoretto Lilian Berton André Anjos FaML 58 0 0 14 Mar 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time Xiaotian Han Tianlong Chen Kaixiong Zhou Zhimeng Jiang Zhangyang Wang Xia Hu 165 0 0 10 Mar 2025
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
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
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta 47 2 0 07 Jun 2024
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams Pivithuru Thejan Amarasinghe Diem Pham Binh Tran Su Nguyen Yuan Sun D. Alahakoon 24 0 0 18 Apr 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 43 1 0 12 Apr 2024
InSaAF: Incorporating Safety through Accuracy and Fairness \| Are LLMs ready for the Indian Legal Domain? Yogesh Tripathi Raghav Donakanti Sahil Girhepuje Ishan Kavathekar Bhaskara Hanuma Vedula Gokul S Krishnan Shreya Goyal Anmol Goel Balaraman Ravindran Ponnurangam Kumaraguru ALM AILaw ELM 19 1 0 16 Feb 2024
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks Stefania Bellavia Francesco Della Santa Alessandra Papini 38 0 0 26 Dec 2023
Search-Based Fairness Testing: An Overview Hussaini Mamman S. Basri A. Balogun A. A. Imam Ganesh M. Kumar L. F. Capretz 32 1 0 10 Nov 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Jakub Marecek 34 3 0 17 Oct 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 45 20 0 03 Sep 2023
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta FedML 25 11 0 21 Jul 2023
Learning Rate Free Sampling in Constrained Domains Louis Sharrock Lester W. Mackey Christopher Nemeth 38 2 0 24 May 2023
Earning Extra Performance from Restrictive Feedbacks Jing Li Yuangang Pan Yueming Lyu Yinghua Yao Yulei Sui Ivor W. Tsang 20 3 0 28 Apr 2023
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness Francesco Di Carlo Nazanin Nezami Hadis Anahideh Abolfazl Asudeh 22 1 0 10 Apr 2023
Superhuman Fairness Omid Memarrast Linh Vu Brian D. Ziebart FaML 15 0 0 31 Jan 2023
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 42 17 0 30 Oct 2022
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems Thomas E. Doyle Victoria Tucci Calvin Zhu Yifei Zhang Basem Yassa Sajjad Rashidiani Md Asif Khan Reza Samavi Michael Noseworthy S. Yule 21 1 0 14 Oct 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent Ruqi Zhang Qiang Liu Xin T. Tong BDL DRL 9 11 0 12 Oct 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 38 18 0 27 Sep 2022
Generalization In Multi-Objective Machine Learning Peter Súkeník Christoph H. Lampert AI4CE 31 5 0 29 Aug 2022
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 30 7 0 22 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 33 159 0 14 Jul 2022
Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain Modar Sulaiman Kallol Roy 14 0 0 03 Jun 2022
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes Alan Mishler Edward H. Kennedy FaML 27 23 0 01 Sep 2021
The Sharpe predictor for fairness in machine learning Suyun Liu Luis Nunes Vicente 43 3 0 13 Aug 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization Wei-wei Zhu Haitian Zheng Haofu Liao Weijian Li Jiebo Luo 24 43 0 11 Aug 2021
Learning the Pareto Front with Hypernetworks Aviv Navon Aviv Shamsian Gal Chechik Ethan Fetaya 19 138 0 08 Oct 2020
Intelligence plays dice: Stochasticity is essential for machine learning M. Sabuncu 32 6 0 17 Aug 2020
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning Suyun Liu Luis Nunes Vicente 20 71 0 10 Jul 2019