Cover Image

A General Anchor-Based Framework for Scalable Fair Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Shengfei, Liu, Suyuan, Wang, Jun, Liang, Ke, Li, Miaomiao, Luo, Lei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Learnable Anchor for Deep Multi-View Clustering
by: Wang, Bocheng, et al.
Published: (2025)

Fair Bayesian Model-Based Clustering
by: Lee, Jihu, et al.
Published: (2025)

Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
by: Hu, Yaowen, et al.
Published: (2025)

Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
by: Chen, Yixi, et al.
Published: (2025)

Discriminative Anchor Learning for Efficient Multi-view Clustering
by: Qin, Yalan, et al.
Published: (2024)

Fair Clustering with Clusterlets
by: Setzu, Mattia, et al.
Published: (2025)

Deep Temporal Graph Clustering
by: Liu, Meng, et al.
Published: (2023)

Fair Clustering via Alignment
by: Kim, Kunwoong, et al.
Published: (2025)

PFGuard: A Generative Framework with Privacy and Fairness Safeguards
by: Kim, Soyeon, et al.
Published: (2024)

SGC-RML: A reliable and interpretable longitudinal assessment for PD in real-world DNS
by: Wei, Wenbin, et al.
Published: (2026)

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

HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
by: Shao, Zihang, et al.
Published: (2025)

MAnchors: Memorization-Based Acceleration of Anchors via Rule Reuse and Transformation
by: Yu, Haonan, et al.
Published: (2025)

FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning
by: Wang, Ziquan, et al.
Published: (2026)

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
by: Zhao, Suyuan, et al.
Published: (2025)

FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
by: Zhu, Lin, et al.
Published: (2025)

Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
by: Li, Yingru, et al.
Published: (2024)

Norm Anchors Make Model Edits Last
by: Liu, Mingda, et al.
Published: (2026)

PAGE: Parametric Generative Explainer for Graph Neural Network
by: Qiu, Yang, et al.
Published: (2024)

S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025)

Generalization Performance of Ensemble Clustering: From Theory to Algorithm
by: Zhang, Xu, et al.
Published: (2025)

A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
by: Song, Yu, et al.
Published: (2025)

MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network
by: Fang, Kai, et al.
Published: (2025)

Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks
by: Li, Jiafan, et al.
Published: (2025)

FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
by: Nagesh, Nitish, et al.
Published: (2025)

POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution
by: Saxena, Nripsuta Ani, et al.
Published: (2025)

Clustering with Communication: A Variational Framework for Single Cell Representation Learning
by: Qi, Cong, et al.
Published: (2025)

Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective
by: Xu, Chengyin, et al.
Published: (2025)

t-SMILES: A Scalable Fragment-based Molecular Representation Framework for De Novo Molecule Generation
by: Wu, Juan-Ni, et al.
Published: (2023)

Learning Interpretable Rules for Scalable Data Representation and Classification
by: Wang, Zhuo, et al.
Published: (2023)

COMPOL: A Unified Neural Operator Framework for Scalable Multi-Physics Simulations
by: Sun, Yifei, et al.
Published: (2025)

Cluster Aggregated GAN (CAG): A Cluster-Based Hybrid Model for Appliance Pattern Generation
by: Guo, Zikun, et al.
Published: (2025)

A General Framework for Learning from Weak Supervision
by: Chen, Hao, et al.
Published: (2024)

ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups
by: Hu, Jingyu, et al.
Published: (2024)

Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
by: Ke, Yekun, et al.
Published: (2024)

Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
by: Yin, Xuwang, et al.
Published: (2025)

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

FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis
by: Sha, Tommy, et al.
Published: (2025)

COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs
by: Li, Sheng'en, et al.
Published: (2026)

A Post-Processing-Based Fair Federated Learning Framework
by: Zhou, Yi, et al.
Published: (2025)