:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jin, Jinqiu, Li, Haoxuan, Feng, Fuli
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2406.03255
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
par: Li, Haoxuan, et autres
Publié: (2024)

Debiased Recommendation with Noisy Feedback
par: Li, Haoxuan, et autres
Publié: (2024)

Disparate Conditional Prediction in Multiclass Classifiers
par: Sabato, Sivan, et autres
Publié: (2022)

Demystifying the Optimal Fair Classifier in Multi-Class Classification
par: Zhang, Li, et autres
Publié: (2026)

Explainable Disparity Compensation for Efficient Fair Ranking
par: Gale, Abraham, et autres
Publié: (2023)

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
par: Shi, Tianhao, et autres
Publié: (2024)

Prompt Fairness: Sub-group Disparities in LLMs
par: Zhong, Meiyu, et autres
Publié: (2025)

Fairness in Ranking under Disparate Uncertainty
par: Rastogi, Richa, et autres
Publié: (2023)

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
par: Sturman, Olivia, et autres
Publié: (2024)

Bayes-Optimal Classifiers under Group Fairness
par: Zeng, Xianli, et autres
Publié: (2022)

Interpretable and Fair Mechanisms for Abstaining Classifiers
par: Lenders, Daphne, et autres
Publié: (2025)

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers
par: Inácio, Ricardo, et autres
Publié: (2025)

Fair Machine Unlearning: Data Removal while Mitigating Disparities
par: Oesterling, Alex, et autres
Publié: (2023)

Minimax Optimal Fair Classification with Bounded Demographic Disparity
par: Zeng, Xianli, et autres
Publié: (2024)

Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
par: Wu, Qiming, et autres
Publié: (2025)

Fairness of Classifiers in the Presence of Constraints between Features
par: Cooper, Martin C., et autres
Publié: (2026)

Simple and Effective Specialized Representations for Fair Classifiers
par: Sinigaglia, Alberto, et autres
Publié: (2025)

A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities
par: Xu, Wen, et autres
Publié: (2025)

Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD
par: Demelius, Lea, et autres
Publié: (2025)

Fairness-Aware Meta-Learning via Nash Bargaining
par: Zeng, Yi, et autres
Publié: (2024)

State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers
par: Baumann, Elias, et autres
Publié: (2018)

FROC: Building Fair ROC from a Trained Classifier
par: Vummintala, Avyukta Manjunatha, et autres
Publié: (2024)

PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers
par: Bastian, Julien, et autres
Publié: (2026)

FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
par: Dai, Yucong, et autres
Publié: (2025)

Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
par: Tian, Huan, et autres
Publié: (2025)

Fairness-Aware Estimation of Graphical Models
par: Zhou, Zhuoping, et autres
Publié: (2024)

FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk
par: Zhao, Tianyu, et autres
Publié: (2025)

k-hop Fairness: Addressing Disparities in Graph Link Prediction Beyond First-Order Neighborhoods
par: Marey, Lilian, et autres
Publié: (2026)

Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching
par: Kishimoto, Ren, et autres
Publié: (2026)

Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
par: Hu, Zhihao, et autres
Publié: (2023)

FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
par: Li, Siqi, et autres
Publié: (2024)

Merge before Forget: A Single LoRA Continual Learning via Continual Merging
par: Qiao, Fuli, et autres
Publié: (2025)

Measuring Individual User Fairness with User Similarity and Effectiveness Disparity
par: Rampisela, Theresia Veronika, et autres
Publié: (2026)

Fairness in Monotone $k$-submodular Maximization: Algorithms and Applications
par: Zhu, Yanhui, et autres
Publié: (2024)

Uncertainty-Aware Graph Self-Training with Expectation-Maximization Regularization
par: Wang, Emily, et autres
Publié: (2025)

Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing
par: Zeng, Xianli, et autres
Publié: (2024)

DQ4FairIM: Fairness-aware Influence Maximization using Deep Reinforcement Learning
par: Saxena, Akrati, et autres
Publié: (2025)

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
par: Zhao, Chen, et autres
Publié: (2024)

Classifier Reconstruction Through Counterfactual-Aware Wasserstein Prototypes
par: Zhao, Xuan, et autres
Publié: (2025)

Impacts of Individual Fairness on Group Fairness from the Perspective of Generalized Entropy
par: Jin, Youngmi, et autres
Publié: (2022)