Cover Image

Fairness-aware Multiobjective Evolutionary Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Qingquan, Liu, Jialin, Yao, Xin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
by: Zhang, Qingquan, et al.
Published: (2022)

Exploring Accuracy-Fairness Trade-off in Large Language Models
by: Zhang, Qingquan, et al.
Published: (2024)

Online and Customizable Fairness-aware Learning
by: Zhang, Wenbin
Published: (2020)

Lifelong Learning with Behavior Consolidation for Vehicle Routing
by: Pei, Jiyuan, et al.
Published: (2025)

Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks
by: Pei, Jiyuan, et al.
Published: (2026)

Thresholded Lexicographic Ordered Multiobjective Reinforcement Learning
by: Tercan, Alperen, et al.
Published: (2024)

FairGU: Fairness-aware Graph Unlearning in Social Networks
by: Luo, Renqiang, et al.
Published: (2026)

GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
by: Sulaiman, Modar, et al.
Published: (2025)

On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning
by: Yang, Zhi, et al.
Published: (2025)

Understanding Fairness Surrogate Functions in Algorithmic Fairness
by: Yao, Wei, et al.
Published: (2023)

Bifurcation Models: Learning Set-Valued Solution Maps with Weight-Tied Dynamics
by: Jore, Caleb, et al.
Published: (2026)

LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
by: Yan, Xueming, et al.
Published: (2025)

Multiobjective Hydropower Reservoir Operation Optimization with Transformer-Based Deep Reinforcement Learning
by: Wu, Rixin, et al.
Published: (2023)

Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
by: Sasaki, Yuya
Published: (2025)

FnRGNN: Distribution-aware Fairness in Graph Neural Network
by: Park, Soyoung, et al.
Published: (2025)

Knowledge-aware Evolutionary Graph Neural Architecture Search
by: Wang, Chao, et al.
Published: (2024)

Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation
by: Lv, Xinpeng, et al.
Published: (2026)

LiBOG: Lifelong Learning for Black-Box Optimizer Generation
by: Pei, Jiyuan, et al.
Published: (2025)

Evolutionary System Prompt Learning for Reinforcement Learning in LLMs
by: Zhang, Lunjun, et al.
Published: (2026)

Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks
by: Yao, Quanming, et al.
Published: (2024)

Fairness-aware Vision Transformer via Debiased Self-Attention
by: Qiang, Yao, et al.
Published: (2023)

On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
by: Zhu, Shengkun, et al.
Published: (2024)

FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
by: Dai, Yucong, et al.
Published: (2025)

Shape-aware Graph Spectral Learning
by: Xu, Junjie, et al.
Published: (2023)

seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness
by: Ning, Yilin, et al.
Published: (2025)

Group Fairness in Multi-Task Reinforcement Learning
by: Song, Kefan, et al.
Published: (2025)

Fair Concurrent Training of Multiple Models in Federated Learning
by: Siew, Marie, et al.
Published: (2024)

Evolutionary Reinforcement Learning via Cooperative Coevolution
by: Hu, Chengpeng, et al.
Published: (2024)

Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning
by: Zhang, Qingquan, et al.
Published: (2025)

Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
by: Wu, Jiahui, et al.
Published: (2024)

Learning Fair Graph Representations with Multi-view Information Bottleneck
by: Liu, Chuxun, et al.
Published: (2025)

FairPO: Robust Preference Optimization for Fair Multi-Label Learning
by: Mondal, Soumen Kumar, et al.
Published: (2025)

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
by: Lin, Yujie, et al.
Published: (2023)

A Causal Lens for Learning Long-term Fair Policies
by: Lear, Jacob, et al.
Published: (2025)

Fairness in Graph Learning Augmented with Machine Learning: A Survey
by: Luo, Renqiang, et al.
Published: (2025)

Fairness Without Harm: An Influence-Guided Active Sampling Approach
by: Pang, Jinlong, et al.
Published: (2024)

FADE: Towards Fairness-aware Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
by: Lin, Yujie, et al.
Published: (2024)

Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
by: Yu, Xuehui, et al.
Published: (2024)

Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation
by: Sikder, Md Fahim, et al.
Published: (2024)