Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics
Fuente:
arXiv
Saved in:
| Main Authors: | Olulana, Oluseun, Cachel, Kathleen, Murai, Fabricio, Rundensteiner, Elke |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Demographic Group Fairness Guarantees in Deep Learning
by: Luo, Yan, et al.
Published: (2024)
by: Luo, Yan, et al.
Published: (2024)
Fairness-Aware Graph Representation Learning with Limited Demographic Information
by: Wang, Zichong, et al.
Published: (2025)
by: Wang, Zichong, et al.
Published: (2025)
Migrate Demographic Group For Fair GNNs
by: Hu, YanMing, et al.
Published: (2023)
by: Hu, YanMing, et al.
Published: (2023)
FairSpace: An Interactive Visualization System for Constructing Fair Consensus from Many Rankings
by: H. Shrestha, et al.
Published: (2025)
by: H. Shrestha, et al.
Published: (2025)
Transferring Fairness using Multi-Task Learning with Limited Demographic Information
by: Aguirre, Carlos, et al.
Published: (2023)
by: Aguirre, Carlos, et al.
Published: (2023)
Fairness Risks for Group-conditionally Missing Demographics
by: Jiang, Kaiqi, et al.
Published: (2024)
by: Jiang, Kaiqi, et al.
Published: (2024)
Counterfactual Fairness Is Not Demographic Parity, and Other Observations
by: Silva, Ricardo
Published: (2024)
by: Silva, Ricardo
Published: (2024)
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
by: Wang, Xuanqian, et al.
Published: (2024)
by: Wang, Xuanqian, et al.
Published: (2024)
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
by: Wu, Qiming, et al.
Published: (2025)
by: Wu, Qiming, et al.
Published: (2025)
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions
by: Bothmann, Ludwig, et al.
Published: (2023)
by: Bothmann, Ludwig, et al.
Published: (2023)
Fair Active Ranking from Pairwise Preferences
by: Gorantla, Sruthi, et al.
Published: (2024)
by: Gorantla, Sruthi, et al.
Published: (2024)
Minimax Optimal Fair Classification with Bounded Demographic Disparity
by: Zeng, Xianli, et al.
Published: (2024)
by: Zeng, Xianli, et al.
Published: (2024)
AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
by: Wang, Zichong, et al.
Published: (2025)
by: Wang, Zichong, et al.
Published: (2025)
What's in a Query: Polarity-Aware Distribution-Based Fair Ranking
by: Balagopalan, Aparna, et al.
Published: (2025)
by: Balagopalan, Aparna, et al.
Published: (2025)
Fairness in Ranking under Disparate Uncertainty
by: Rastogi, Richa, et al.
Published: (2023)
by: Rastogi, Richa, et al.
Published: (2023)
Properties of Group Fairness Metrics for Rankings
by: Schumacher, Tobias, et al.
Published: (2022)
by: Schumacher, Tobias, et al.
Published: (2022)
A Tutorial On Intersectionality in Fair Rankings
by: Criscuolo, Chiara, et al.
Published: (2025)
by: Criscuolo, Chiara, et al.
Published: (2025)
KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
by: Davoodi, Farbod, et al.
Published: (2026)
by: Davoodi, Farbod, et al.
Published: (2026)
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)
by: Dinh, My H., et al.
Published: (2024)
On Fairness of Low-Rank Adaptation of Large Models
by: Ding, Zhoujie, et al.
Published: (2024)
by: Ding, Zhoujie, et al.
Published: (2024)
When Fair Ranking Meets Uncertain Inference
by: Ghosh, Avijit, et al.
Published: (2021)
by: Ghosh, Avijit, et al.
Published: (2021)
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
by: Ramachandran, Sreeraj, et al.
Published: (2024)
by: Ramachandran, Sreeraj, et al.
Published: (2024)
What is Fair? Defining Fairness in Machine Learning for Health
by: Gao, Jianhui, et al.
Published: (2024)
by: Gao, Jianhui, et al.
Published: (2024)
Demo2Vec: Learning Region Embedding with Demographic Information
by: Wen, Ya, et al.
Published: (2024)
by: Wen, Ya, et al.
Published: (2024)
A Taxonomy of Challenges to Curating Fair Datasets
by: Zhao, Dora, et al.
Published: (2024)
by: Zhao, Dora, et al.
Published: (2024)
AdapFair: Ensuring Adaptive Fairness for Machine Learning Operations
by: Huang, Yinghui, et al.
Published: (2024)
by: Huang, Yinghui, et al.
Published: (2024)
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
by: Fawkes, Jake, et al.
Published: (2024)
by: Fawkes, Jake, et al.
Published: (2024)
Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning
by: Wang, Ziming, et al.
Published: (2025)
by: Wang, Ziming, et al.
Published: (2025)
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
by: Somerstep, Seamus, et al.
Published: (2024)
by: Somerstep, Seamus, et al.
Published: (2024)
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023)
by: Roy, Arjun, et al.
Published: (2023)
Learning Interpretable Fair Representations
by: Wang, Tianhao, et al.
Published: (2024)
by: Wang, Tianhao, et al.
Published: (2024)
Fairness in Ranking: Robustness through Randomization without the Protected Attribute
by: Kliachkin, Andrii, et al.
Published: (2024)
by: Kliachkin, Andrii, et al.
Published: (2024)
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
by: Duan, Yuying, et al.
Published: (2024)
by: Duan, Yuying, et al.
Published: (2024)
Fairness in Reinforcement Learning with Bisimulation Metrics
by: Rezaei-Shoshtari, Sahand, et al.
Published: (2024)
by: Rezaei-Shoshtari, Sahand, et al.
Published: (2024)
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
by: Amin, Mostafa M., et al.
Published: (2022)
by: Amin, Mostafa M., et al.
Published: (2022)
FairHome: A Fair Housing and Fair Lending Dataset
by: Bagalkotkar, Anusha, et al.
Published: (2024)
by: Bagalkotkar, Anusha, et al.
Published: (2024)
Semi-Variance Reduction for Fair Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2024)
by: Malekmohammadi, Saber, et al.
Published: (2024)
Learning Fair Representations with Kolmogorov-Arnold Networks
by: Priyadarshini, Amisha, et al.
Published: (2025)
by: Priyadarshini, Amisha, et al.
Published: (2025)
Fairness in Federated Learning: Trends, Challenges, and Opportunities
by: Mukhtiar, Noorain, et al.
Published: (2025)
by: Mukhtiar, Noorain, et al.
Published: (2025)
Insights From Insurance for Fair Machine Learning
by: Fröhlich, Christian, et al.
Published: (2023)
by: Fröhlich, Christian, et al.
Published: (2023)
Similar Items
-
On Demographic Group Fairness Guarantees in Deep Learning
by: Luo, Yan, et al.
Published: (2024) -
Fairness-Aware Graph Representation Learning with Limited Demographic Information
by: Wang, Zichong, et al.
Published: (2025) -
Migrate Demographic Group For Fair GNNs
by: Hu, YanMing, et al.
Published: (2023) -
FairSpace: An Interactive Visualization System for Constructing Fair Consensus from Many Rankings
by: H. Shrestha, et al.
Published: (2025) -
Transferring Fairness using Multi-Task Learning with Limited Demographic Information
by: Aguirre, Carlos, et al.
Published: (2023)