Fairness Constraints

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4 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-21

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A weekly snapshot of new work published in Fairness Constraints.

36 papers

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The AR Fairness Metamodel: A Structured Framework for Fairness Measures
Sep 16, 2026Julian Alfredo Mendez, Timotheus KampikFairness Constraints
One Example Is Enough to Pass Fairness Benchmarks: Rethinking Fairness Evaluation for Aligned LLMs
Sep 14, 2026Naihao Deng, Samee Arif, Shuaichen Chang +2Fairness Constraints Large Language Model Alignment
FairLens: Benchmarking Fairness in Vision-Language Models for High-Stakes Decision-Making
Sep 1, 2026Vahid Reza Khazaie, Ahmed Y. Radwan, Shaina RazaLarge Vision Language Models Large Language Model Bias
Simultaneous Envy and Equitability Guarantees
Aug 26, 2026Hadi Hosseini, Shraddha Pathak, Lirong Xia +1Fairness Constraints
Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders
Aug 8, 2026Chan Aristella Lu, Arya Fayyazi, Junhao Zhang +6Large Language Model Bias Fairness Audits
End-to-End Fairness Optimization with Fair Decision-Focused Learning
Jul 31, 2026Yu Wang, Violet Xinying ChenFairness Constraints
Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling
Jul 26, 2026Shakti Sharma, Rahul MeshramOptimal Scheduling Linear Bandits
Online Fair Division with Budget Constraints
Jul 25, 2026Saar Cohen, Nicholas Teh, Paul W. Goldberg +1Knapsack Constraint Fairness Constraints
Discrepancy-Rounded Fair Bandits with Static and Time-Varying Exposure Floors
Jul 24, 2026Ibne Farabi Shihab, Joyanta Jyoti Mondal, Anuj SharmaBandits Fairness Constraints
Price of Fairness in Bandits: A Tight Minimax Characterization
Jul 15, 2026Dhruv Sarkar, Soumyadeep Dutta, Sayak Ray ChowdhuryLinear Regret Bandits
Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing
Jul 10, 2026Sujay Uday RittikarDemand Forecasting Prices
Wait, am I Being Fair? Characterizing Deductive Stereotyping and Mitigating It with Fair-GCG
Jun 30, 2026Naihao Deng, Yilun Zhu, Joan Nwatu +2Stereotype Mitigation Fairness Constraints
Fair Online Resource Allocation
Jun 17, 2026Christopher En, Yuri Faenza, Andrea Lodi +1Fairness Constraints Optimal Scheduling
α-Fair Insurance Pricing: A Fairness Continuum
Jun 12, 2026Tianhe Zhang, Xiguang Liu, Peng ShiInsurance Fairness Constraints
Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
Jun 8, 2026Abhi Gupta, Polina Barabanshchikova, Vikas Garg +2Discrete Diffusion Model Image Denoising
Learning Fair Demand Models
Jun 5, 2026Adam N. Elmachtoub, Hyemi Kim, Jonathan Y. TanFairness Constraints Prices
Be Fair! Can Machine Learning Engineering Agents Adhere to Fairness Constraints?
Jun 3, 2026Anna Richter, Julia Stoyanovich, Sebastian SchelterFairness Constraints Agentic Evaluations
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
May 30, 2026Xinpeng Lv, Chunyuan Zheng, Yunxin Mao +8Fairness-Aware Learning Fairness Constraints
Examining Agents' Bias Amplification versus Suppression in Multi-Agent Systems
May 27, 2026Zejian Eric Wu, Zhongyi Jiang, Yuan Zhuang +1Multi-Agent Systems Fairness Constraints
Temporal Fair Division in Multi-Agent Systems: From Precise Alternation Metrics to Scalable Coordination Proxies
May 14, 2026Nikolaos Al. PapadopoulosMulti-Agent Coordination Fairness Constraints
The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions
May 12, 2026Carmel Baharav, Niclas Boehmer, Bailey Flanigan +1Ranking Fairness Constraints
Causal Fairness for Survival Analysis
May 12, 2026Drago PleckoSurvival Analysis Fairness Constraints
Responsible Benchmarking of Fairness for Automatic Speech Recognition
May 11, 2026Felix Herron, Ange Richard, François Portet +2Fairness Constraints
Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems
May 11, 2026Mieke Wilms, Christoph HeitzFairness Constraints Pareto Frontier
Selection of the Best Policy under Fairness Constraints for Subpopulations
May 11, 2026Tingyu Zhu, Yuhang Wu, Zeyu ZhengFairness Constraints Subgroup Information
The Pokémon Theorem and other Fairness Impossibility Results
May 9, 2026Daniel Matsui Smola, Alex SmolaFairness Constraints Implicit Bias
Benchmarking Fairness in Spiking Neural Networks: Data Bias, Spurious Features, and Hardware Effects
May 8, 2026Hudi He, Fukun Wang, Zhe Wang +7Spiking Neural Networks Fairness Constraints
Price of Fairness in Short-Term and Long-Term Algorithmic Selections
May 7, 2026Shahin Jabbari, Chen WangFairness Constraints Disparities
Fairness for distribution network operations and planning
Apr 30, 2026Pedro F. C. de Carvalho, Zijie Liu, Md Umar Hashmi +1Fairness Constraints Networked Systems
Where Do Self-Supervised Speech Models Become Unfair?
Apr 20, 2026Felix Herron, Maja Hjuler, Solange Rossato +2Self-Supervised Speech Models Speaker Identity
Fairness Constraints in High-Dimensional Generalized Linear Models
Apr 17, 2026Yixiao Lin, James BoothFairness-Aware Learning Fairness Interventions
When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning
Apr 16, 2026Khalid Adnan AlsayedFairness Constraints Evaluation Metrics
A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks
Mar 22, 2026Maryam Boubekraoui, Giordano d'Aloisio, Antinisca Di MarcoFairness-Aware Learning Multiclass Classification
When fairness metrics fail: A utility-based perspective on $\varepsilon$ -fairness
May 15, 2024Tolulope Fadina, Thorsten SchmidtFairness Constraints Expected Utility
Unfair Utilities and First Steps Towards Improving Them
Jun 1, 2023Frederik Hytting Jørgensen, Sebastian Weichwald, Jonas PetersFairness Constraints Expected Utility
On the Societal Impact of Machine Learning
Date pendingJoachim BaumannFairness Constraints Machine Learning

Sep 16, 2026 · cs.CYJ/K move · Enter open · S save

The AR Fairness Metamodel: A Structured Framework for Fairness Measures

Julian Alfredo Mendez, Timotheus Kampik

Umeå University, Umeå, Sweden

This paper presents the AR fairness metamodel, a framework designed to represent, analyze, and compare different fairness scenarios. The metamodel considers key elements, such as agents, resources, and their attributes, and enables the systematic definition and comparison of various fairness measures. We provide examples involving both discrete and continuous measures, including equality, equity, group fairness, individual fairness, the Gini index, the Theil index, Jain's fairness index, and a detailed fairness measure for Australia's Child Care Subsidy. We also explore relationships among group fairness, individual fairness, and envy-freeness, supported by formal proofs. At the conceptual modeling level, our approach builds on the Tiles framework, which offers modular components that can be connected to capture diverse fairness definitions. The goal is to make AR-based fairness definitions practical and adaptable across contexts, providing a clear way to define, compare, and evaluate them. An implementation of the Tiles framework is available as an open-source tool, and can support fairness modeling and evaluation across a wide range of applications.