Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification
Fuente:
arXiv
Guardado en:
| Autores principales: | Song, Xiaobin, Liu, Zeyuan, Jiang, Benben |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services
por: Cederle, Matteo, et al.
Publicado: (2024)
por: Cederle, Matteo, et al.
Publicado: (2024)
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
por: Zhou, Songqi, et al.
Publicado: (2025)
por: Zhou, Songqi, et al.
Publicado: (2025)
CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities
por: Nweye, Kingsley, et al.
Publicado: (2024)
por: Nweye, Kingsley, et al.
Publicado: (2024)
Fair Clustering with Minimum Representation Constraints
por: Lawless, Connor, et al.
Publicado: (2024)
por: Lawless, Connor, et al.
Publicado: (2024)
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule
por: Zhao, Xuan, et al.
Publicado: (2024)
por: Zhao, Xuan, et al.
Publicado: (2024)
Fair Mixed Effects Support Vector Machine
por: Burgard, Jan Pablo, et al.
Publicado: (2024)
por: Burgard, Jan Pablo, et al.
Publicado: (2024)
Fair and Accurate Regression: Strong Formulations and Algorithms
por: Deza, Anna, et al.
Publicado: (2024)
por: Deza, Anna, et al.
Publicado: (2024)
FairGT: A Fairness-aware Graph Transformer
por: Luo, Renqiang, et al.
Publicado: (2024)
por: Luo, Renqiang, et al.
Publicado: (2024)
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
por: Hu, Zhihao, et al.
Publicado: (2023)
por: Hu, Zhihao, et al.
Publicado: (2023)
Fairness-aware Federated Minimax Optimization with Convergence Guarantee
por: Dunda, Gerry Windiarto Mohamad, et al.
Publicado: (2023)
por: Dunda, Gerry Windiarto Mohamad, et al.
Publicado: (2023)
Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks
por: Kliachkin, Andrii, et al.
Publicado: (2025)
por: Kliachkin, Andrii, et al.
Publicado: (2025)
BoostFGL: Boosting Fairness in Federated Graph Learning
por: Chen, Zekai, et al.
Publicado: (2026)
por: Chen, Zekai, et al.
Publicado: (2026)
DECAF: Learning to be Fair in Multi-agent Resource Allocation
por: Kumar, Ashwin, et al.
Publicado: (2025)
por: Kumar, Ashwin, et al.
Publicado: (2025)
AdapFair: Ensuring Adaptive Fairness for Machine Learning Operations
por: Huang, Yinghui, et al.
Publicado: (2024)
por: Huang, Yinghui, et al.
Publicado: (2024)
Fairness of Energy Distribution Mechanisms in Collective Self-Consumption Schemes
por: Couraud, Benoit, et al.
Publicado: (2025)
por: Couraud, Benoit, et al.
Publicado: (2025)
Algorithmic Challenges in Ensuring Fairness at the Time of Decision
por: Salem, Jad, et al.
Publicado: (2021)
por: Salem, Jad, et al.
Publicado: (2021)
Event Detection and Classification for Long Range Sensing of Elephants Using Seismic Signal
por: Wijayaraja, Jaliya L., et al.
Publicado: (2025)
por: Wijayaraja, Jaliya L., et al.
Publicado: (2025)
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
por: Amin, Mostafa M., et al.
Publicado: (2022)
por: Amin, Mostafa M., et al.
Publicado: (2022)
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness
por: Small, Edward A., et al.
Publicado: (2023)
por: Small, Edward A., et al.
Publicado: (2023)
Design & Implementation of Automatic Machine Condition Monitoring and Maintenance System in Limited Resource Situations
por: Ripon, Abu Hanif Md., et al.
Publicado: (2024)
por: Ripon, Abu Hanif Md., et al.
Publicado: (2024)
Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems
por: Nikpour, Maryam, et al.
Publicado: (2023)
por: Nikpour, Maryam, et al.
Publicado: (2023)
Will the Carbon Border Adjustment Mechanism Impact European Electricity Prices? A GNN-Based Network Analysis
por: Shen, Jiachen, et al.
Publicado: (2026)
por: Shen, Jiachen, et al.
Publicado: (2026)
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
por: Yang, Shangshang, et al.
Publicado: (2025)
por: Yang, Shangshang, et al.
Publicado: (2025)
Boosting Fairness and Robustness in Over-the-Air Federated Learning
por: Oksuz, Halil Yigit, et al.
Publicado: (2024)
por: Oksuz, Halil Yigit, et al.
Publicado: (2024)
FairHome: A Fair Housing and Fair Lending Dataset
por: Bagalkotkar, Anusha, et al.
Publicado: (2024)
por: Bagalkotkar, Anusha, et al.
Publicado: (2024)
FairWire: Fair Graph Generation
por: Kose, O. Deniz, et al.
Publicado: (2024)
por: Kose, O. Deniz, et al.
Publicado: (2024)
Metarobotics for Industry and Society: Vision, Technologies, and Opportunities
por: Kaigom, Eric Guiffo
Publicado: (2024)
por: Kaigom, Eric Guiffo
Publicado: (2024)
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
por: Noorani, Erfaun, et al.
Publicado: (2025)
por: Noorani, Erfaun, et al.
Publicado: (2025)
An Experimental Study on Fairness-aware Machine Learning for Credit Scoring Problems
por: Thu, Huyen Giang Thi, et al.
Publicado: (2024)
por: Thu, Huyen Giang Thi, et al.
Publicado: (2024)
On the Impact of Output Perturbation on Fairness in Binary Linear Classification
por: Emelianov, Vitalii, et al.
Publicado: (2024)
por: Emelianov, Vitalii, et al.
Publicado: (2024)
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing
por: Zeng, Xianli, et al.
Publicado: (2024)
por: Zeng, Xianli, et al.
Publicado: (2024)
Balancing the Scales: Reinforcement Learning for Fair Classification
por: Eshuijs, Leon, et al.
Publicado: (2024)
por: Eshuijs, Leon, et al.
Publicado: (2024)
A Unified Post-Processing Framework for Group Fairness in Classification
por: Xian, Ruicheng, et al.
Publicado: (2024)
por: Xian, Ruicheng, et al.
Publicado: (2024)
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
por: Manupriya, Piyushi, et al.
Publicado: (2025)
por: Manupriya, Piyushi, et al.
Publicado: (2025)
What is Fair? Defining Fairness in Machine Learning for Health
por: Gao, Jianhui, et al.
Publicado: (2024)
por: Gao, Jianhui, et al.
Publicado: (2024)
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
por: Small, Edward, et al.
Publicado: (2022)
por: Small, Edward, et al.
Publicado: (2022)
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
por: Yang, Cheng, et al.
Publicado: (2024)
por: Yang, Cheng, et al.
Publicado: (2024)
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
por: Haghighat, Parian, et al.
Publicado: (2024)
por: Haghighat, Parian, et al.
Publicado: (2024)
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
por: Pokhriyal, Subham, et al.
Publicado: (2024)
por: Pokhriyal, Subham, et al.
Publicado: (2024)
FairMT: Fairness for Heterogeneous Multi-Task Learning
por: Hu, Guanyu, et al.
Publicado: (2025)
por: Hu, Guanyu, et al.
Publicado: (2025)
Ejemplares similares
-
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services
por: Cederle, Matteo, et al.
Publicado: (2024) -
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
por: Zhou, Songqi, et al.
Publicado: (2025) -
CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities
por: Nweye, Kingsley, et al.
Publicado: (2024) -
Fair Clustering with Minimum Representation Constraints
por: Lawless, Connor, et al.
Publicado: (2024) -
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule
por: Zhao, Xuan, et al.
Publicado: (2024)