Saved in:
| Main Author: | Kinney, David |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.08829 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models
by: Antonucci, Alessandro, et al.
Published: (2025)
by: Antonucci, Alessandro, et al.
Published: (2025)
Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
by: Debot, David, et al.
Published: (2025)
by: Debot, David, et al.
Published: (2025)
Fairness-Accuracy Trade-Offs: A Causal Perspective
by: Plecko, Drago, et al.
Published: (2024)
by: Plecko, Drago, et al.
Published: (2024)
Understanding Fairness Surrogate Functions in Algorithmic Fairness
by: Yao, Wei, et al.
Published: (2023)
by: Yao, Wei, et al.
Published: (2023)
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples
by: Havaldar, Shreyas, et al.
Published: (2023)
by: Havaldar, Shreyas, et al.
Published: (2023)
A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
by: Semsar, Samin, et al.
Published: (2026)
by: Semsar, Samin, et al.
Published: (2026)
Concept Influence: Leveraging Interpretability to Improve Performance and Efficiency in Training Data Attribution
by: Kowal, Matthew, et al.
Published: (2026)
by: Kowal, Matthew, et al.
Published: (2026)
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
by: Blum, Avrim, et al.
Published: (2019)
by: Blum, Avrim, et al.
Published: (2019)
Alternative Fairness and Accuracy Optimization in Criminal Justice
by: Wu, Shaolong, et al.
Published: (2025)
by: Wu, Shaolong, et al.
Published: (2025)
Recurrent Aggregators in Neural Algorithmic Reasoning
by: Xu, Kaijia, et al.
Published: (2024)
by: Xu, Kaijia, et al.
Published: (2024)
AFed: Algorithmic Fair Federated Learning
by: Chen, Huiqiang, et al.
Published: (2025)
by: Chen, Huiqiang, et al.
Published: (2025)
CoLiDR: Concept Learning using Aggregated Disentangled Representations
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
by: Lazri, Zachary McBride, et al.
Published: (2024)
by: Lazri, Zachary McBride, et al.
Published: (2024)
Perturbation Effects on Accuracy and Fairness among Similar Individuals
by: Li, Xuran, et al.
Published: (2024)
by: Li, Xuran, et al.
Published: (2024)
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds
by: Zhong, Meiyu, et al.
Published: (2024)
by: Zhong, Meiyu, et al.
Published: (2024)
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
by: Li, Can, et al.
Published: (2023)
by: Li, Can, et al.
Published: (2023)
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention
by: Xie, Yuquan, et al.
Published: (2024)
by: Xie, Yuquan, et al.
Published: (2024)
OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)
by: Delaney, Eoin, et al.
Published: (2024)
Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems
by: Ekanayake, Imesh, et al.
Published: (2026)
by: Ekanayake, Imesh, et al.
Published: (2026)
Fair In-Context Learning via Latent Concept Variables
by: Bhaila, Karuna, et al.
Published: (2024)
by: Bhaila, Karuna, et al.
Published: (2024)
Fair Uncertainty Quantification for Depression Prediction
by: Li, Yonghong, et al.
Published: (2025)
by: Li, Yonghong, et al.
Published: (2025)
A Framework for Fair Evaluation of Variance-Aware Bandit Algorithms
by: Wolf, Elise
Published: (2025)
by: Wolf, Elise
Published: (2025)
Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
by: Xu, Tianyi, et al.
Published: (2025)
by: Xu, Tianyi, et al.
Published: (2025)
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
by: Jeanselme, Vincent, et al.
Published: (2022)
by: Jeanselme, Vincent, et al.
Published: (2022)
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
by: Qing, Yunpeng, et al.
Published: (2022)
by: Qing, Yunpeng, et al.
Published: (2022)
Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare
by: Nagesh, Nitish, et al.
Published: (2026)
by: Nagesh, Nitish, et al.
Published: (2026)
Explainable AI for Fair Sepsis Mortality Predictive Model
by: Chang, Chia-Hsuan, et al.
Published: (2024)
by: Chang, Chia-Hsuan, et al.
Published: (2024)
Predicting Classification Accuracy When Adding New Unobserved Classes
by: Slavutsky, Yuli, et al.
Published: (2020)
by: Slavutsky, Yuli, et al.
Published: (2020)
Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost
by: Maier, Jannis, et al.
Published: (2024)
by: Maier, Jannis, et al.
Published: (2024)
Exploring Accuracy-Fairness Trade-off in Large Language Models
by: Zhang, Qingquan, et al.
Published: (2024)
by: Zhang, Qingquan, et al.
Published: (2024)
FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction
by: Cheong, Jiaee, et al.
Published: (2025)
by: Cheong, Jiaee, et al.
Published: (2025)
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models
by: Wang, Zhenzhong, et al.
Published: (2024)
by: Wang, Zhenzhong, et al.
Published: (2024)
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
by: Sheng, Yi, et al.
Published: (2024)
by: Sheng, Yi, et al.
Published: (2024)
Supervised Algorithmic Fairness in Distribution Shifts: A Survey
by: Shao, Minglai, et al.
Published: (2024)
by: Shao, Minglai, et al.
Published: (2024)
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
by: Meding, Kristof, et al.
Published: (2023)
by: Meding, Kristof, et al.
Published: (2023)
Object Centric Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2025)
by: Steinmann, David, et al.
Published: (2025)
Learning to Intervene on Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2023)
by: Steinmann, David, et al.
Published: (2023)
GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
by: Rivera, Oscar, et al.
Published: (2026)
by: Rivera, Oscar, et al.
Published: (2026)
Equitable Survival Prediction: A Fairness-Aware Survival Modeling (FASM) Approach
by: Liu, Mingxuan, et al.
Published: (2025)
by: Liu, Mingxuan, et al.
Published: (2025)
FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing
by: Barman, Pronob Kumar, et al.
Published: (2026)
by: Barman, Pronob Kumar, et al.
Published: (2026)
Similar Items
-
On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models
by: Antonucci, Alessandro, et al.
Published: (2025) -
Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
by: Debot, David, et al.
Published: (2025) -
Fairness-Accuracy Trade-Offs: A Causal Perspective
by: Plecko, Drago, et al.
Published: (2024) -
Understanding Fairness Surrogate Functions in Algorithmic Fairness
by: Yao, Wei, et al.
Published: (2023) -
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples
by: Havaldar, Shreyas, et al.
Published: (2023)