:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Montaseri, Hamidreza, Gohari, Amin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computers and Society
Online Access:	https://arxiv.org/abs/2404.04534
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On The Fairness Impacts of Hardware Selection in Machine Learning
by: Nelaturu, Sree Harsha, et al.
Published: (2023)

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024)

On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
by: Lei, Haoyu, et al.
Published: (2024)

Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning
by: Raumanns, Ralf, et al.
Published: (2024)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)

Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)

OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)

FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)

FairMT: Fairness for Heterogeneous Multi-Task Learning
by: Hu, Guanyu, et al.
Published: (2025)

Fair CCA for Fair Representation Learning: An ADNI Study
by: Hou, Bojian, et al.
Published: (2025)

Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
by: Alamdari, Parand A., et al.
Published: (2023)

FairGridSearch: A Framework to Compare Fairness-Enhancing Models
by: Ma, Shih-Chi, et al.
Published: (2024)

FairJob: A Real-World Dataset for Fairness in Online Systems
by: Vladimirova, Mariia, et al.
Published: (2024)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
by: Wang, Zhihao, et al.
Published: (2024)

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
by: Liu, Pengxi, et al.
Published: (2025)

FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
by: Zhu, Lin, et al.
Published: (2025)

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
by: Cong, Zicun, et al.
Published: (2024)

Counterfactual Fairness with Graph Uncertainty
by: Valério, Davi, et al.
Published: (2026)

FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition
by: Gala, Dalia, et al.
Published: (2024)

Learning Fairer Representations with FairVIC
by: Barker, Charmaine, et al.
Published: (2024)

Size-adaptive Hypothesis Testing for Fairness
by: Ferrara, Antonio, et al.
Published: (2025)

GESD: Beyond Outcome-Oriented Fairness
by: Popoola, Gideon, et al.
Published: (2026)

Privacy at a Price: Exploring its Dual Impact on AI Fairness
by: Yang, Mengmeng, et al.
Published: (2024)

On Fairness of Low-Rank Adaptation of Large Models
by: Ding, Zhoujie, et al.
Published: (2024)

Aequitas Flow: Streamlining Fair ML Experimentation
by: Jesus, Sérgio, et al.
Published: (2024)

Tuning Derivatives for Causal Fairness in Machine Learning
by: Edström, Filip, et al.
Published: (2026)

Procedural Fairness via Group Counterfactual Explanation
by: Popoola, Gideon, et al.
Published: (2026)

Fair Machine Learning in Healthcare: A Review
by: Feng, Qizhang, et al.
Published: (2022)

The Cost of Local and Global Fairness in Federated Learning
by: Duan, Yuying, et al.
Published: (2025)

Alternative Fairness and Accuracy Optimization in Criminal Justice
by: Wu, Shaolong, et al.
Published: (2025)

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
by: Cao, Yuefan, et al.
Published: (2025)

FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
by: Li, Siqi, et al.
Published: (2024)

Fairness of ChatGPT
by: Li, Yunqi, et al.
Published: (2023)

Balancing Fairness and Accuracy in Data-Restricted Binary Classification
by: Lazri, Zachary McBride, et al.
Published: (2024)

Supervised Algorithmic Fairness in Distribution Shifts: A Survey
by: Shao, Minglai, et al.
Published: (2024)

Perturbation Effects on Accuracy and Fairness among Similar Individuals
by: Li, Xuran, et al.
Published: (2024)

Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
by: Kadioglu, Serdar, et al.
Published: (2024)

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
by: Bynum, Lucius E. J., et al.
Published: (2024)

Multi-Output Distributional Fairness via Post-Processing
by: Li, Gang, et al.
Published: (2024)