Fairness Incentives in Response to Unfair Dynamic Pricing
Fuente:
arXiv
Saved in:
| Main Authors: | Thibodeau, Jesse, Nekoei, Hadi, Taïk, Afaf, Rajendran, Janarthanan, Farnadi, Golnoosh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Balancing Profit and Fairness in Risk-Based Pricing Markets
by: Thibodeau, Jesse, et al.
Published: (2025)
by: Thibodeau, Jesse, et al.
Published: (2025)
Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)
by: Taik, Afaf, et al.
Published: (2025)
Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread
by: Neophytou, Nicola, et al.
Published: (2024)
by: Neophytou, Nicola, et al.
Published: (2024)
Differentially Private Clustered Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2024)
by: Malekmohammadi, Saber, et al.
Published: (2024)
Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2025)
by: Ganesh, Prakhar, et al.
Published: (2025)
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
by: Chehbouni, Khaoula, et al.
Published: (2024)
by: Chehbouni, Khaoula, et al.
Published: (2024)
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness
by: Ehyaei, Ahmad-Reza, et al.
Published: (2023)
by: Ehyaei, Ahmad-Reza, et al.
Published: (2023)
Multilingual Hallucination Gaps in Large Language Models
by: Chataigner, Cléa, et al.
Published: (2024)
by: Chataigner, Cléa, et al.
Published: (2024)
Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
by: Arzaghi', 'Mina, et al.
Published: (2025)
by: Arzaghi', 'Mina, et al.
Published: (2025)
Understanding Intrinsic Socioeconomic Biases in Large Language Models
by: Arzaghi, Mina, et al.
Published: (2024)
by: Arzaghi, Mina, et al.
Published: (2024)
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
by: Farnadi, Golnoosh, et al.
Published: (2024)
by: Farnadi, Golnoosh, et al.
Published: (2024)
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
by: Chehbouni, Khaoula, et al.
Published: (2025)
by: Chehbouni, Khaoula, et al.
Published: (2025)
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
by: Ganesh, Prakhar, et al.
Published: (2024)
by: Ganesh, Prakhar, et al.
Published: (2024)
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity
by: Ganesh, Prakhar, et al.
Published: (2024)
by: Ganesh, Prakhar, et al.
Published: (2024)
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
by: Deng, Zhihong, et al.
Published: (2024)
by: Deng, Zhihong, et al.
Published: (2024)
Balancing Act: Constraining Disparate Impact in Sparse Models
by: Hashemizadeh, Meraj, et al.
Published: (2023)
by: Hashemizadeh, Meraj, et al.
Published: (2023)
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
by: Meding, Kristof, et al.
Published: (2023)
by: Meding, Kristof, et al.
Published: (2023)
Intersectional Unfairness Discovery
by: Xu, Gezheng, et al.
Published: (2024)
by: Xu, Gezheng, et al.
Published: (2024)
LoRA Provides Differential Privacy by Design via Random Sketching
by: Malekmohammadi, Saber, et al.
Published: (2024)
by: Malekmohammadi, Saber, et al.
Published: (2024)
From Fragile to Certified: Wasserstein Audits of Group Fairness Under Distribution Shift
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)
Unfair Utilities and First Steps Towards Improving Them
by: Jørgensen, Frederik Hytting, et al.
Published: (2023)
by: Jørgensen, Frederik Hytting, et al.
Published: (2023)
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
by: Liu, David, et al.
Published: (2023)
by: Liu, David, et al.
Published: (2023)
Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)
Addressing Polarization and Unfairness in Performative Prediction
by: Jin, Kun, et al.
Published: (2024)
by: Jin, Kun, et al.
Published: (2024)
Towards More Realistic Extraction Attacks: An Adversarial Perspective
by: More, Yash, et al.
Published: (2024)
by: More, Yash, et al.
Published: (2024)
On the Cause of Unfairness: A Training Sample Perspective
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
Fairness Evaluation with Item Response Theory
by: Xu, Ziqi, et al.
Published: (2024)
by: Xu, Ziqi, et al.
Published: (2024)
The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process
by: Carichon, Florian, et al.
Published: (2025)
by: Carichon, Florian, et al.
Published: (2025)
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
by: Zhao, Chen, et al.
Published: (2024)
by: Zhao, Chen, et al.
Published: (2024)
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
by: Kassem, Aly M., et al.
Published: (2025)
by: Kassem, Aly M., et al.
Published: (2025)
A Counterfactual Approach for Addressing Individual User Unfairness in Collaborative Recommender System
by: Baidya, Nikita, et al.
Published: (2026)
by: Baidya, Nikita, et al.
Published: (2026)
Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity
by: Ganesh, Prakhar, et al.
Published: (2025)
by: Ganesh, Prakhar, et al.
Published: (2025)
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
by: Chataigner, Cléa, et al.
Published: (2025)
by: Chataigner, Cléa, et al.
Published: (2025)
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024)
by: Fioretto, Ferdinando, et al.
Published: (2024)
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
by: Zhang, Qingquan, et al.
Published: (2022)
by: Zhang, Qingquan, et al.
Published: (2022)
FairEM360: A Suite for Responsible Entity Matching
by: Shahbazi, Nima, et al.
Published: (2024)
by: Shahbazi, Nima, et al.
Published: (2024)
FairHome: A Fair Housing and Fair Lending Dataset
by: Bagalkotkar, Anusha, et al.
Published: (2024)
by: Bagalkotkar, Anusha, et al.
Published: (2024)
FairWire: Fair Graph Generation
by: Kose, O. Deniz, et al.
Published: (2024)
by: Kose, O. Deniz, et al.
Published: (2024)
Score Design for Multi-Criteria Incentivization
by: Kabra, Anmol, et al.
Published: (2024)
by: Kabra, Anmol, et al.
Published: (2024)
Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity
by: Ganesh, Prakhar, et al.
Published: (2026)
by: Ganesh, Prakhar, et al.
Published: (2026)
Similar Items
-
Balancing Profit and Fairness in Risk-Based Pricing Markets
by: Thibodeau, Jesse, et al.
Published: (2025) -
Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025) -
Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread
by: Neophytou, Nicola, et al.
Published: (2024) -
Differentially Private Clustered Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2024) -
Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2025)