Towards Fair Representation: Clustering and Consensus
Fuente:
arXiv
Saved in:
| Main Authors: | Chakraborty, Diptarka, Chatterjee, Kushagra, Das, Debarati, Nguyen, Tien Long, Nobahari, Romina |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Generic Framework for Fair Consensus Clustering in Streams
by: Chakraborty, Diptarka, et al.
Published: (2026)
by: Chakraborty, Diptarka, et al.
Published: (2026)
Creating Robust and Fair Graph Structures for Connectivity and Clustering
by: Chatterjee, Kushagra
Published: (2026)
by: Chatterjee, Kushagra
Published: (2026)
Clustering Permutations: New Techniques with Streaming Applications
by: Chakraborty, Diptarka, et al.
Published: (2022)
by: Chakraborty, Diptarka, et al.
Published: (2022)
Generalizing Fair Clustering to Multiple Groups: Algorithms and Applications
by: Chakraborty, Diptarka, et al.
Published: (2025)
by: Chakraborty, Diptarka, et al.
Published: (2025)
Gabow's $O(\sqrt{n}m)$ Maximum Cardinality Matching Algorithm, Revisited
by: Mehlhorn, Kurt, et al.
Published: (2026)
by: Mehlhorn, Kurt, et al.
Published: (2026)
Improved Rank Aggregation under Fairness Constraint
by: Chakraborty, Diptarka, et al.
Published: (2025)
by: Chakraborty, Diptarka, et al.
Published: (2025)
Linear Programming based Approximation to Individually Fair k-Clustering with Outliers
by: Maity, Binita, et al.
Published: (2024)
by: Maity, Binita, et al.
Published: (2024)
Modification-Fair Cluster Editing
by: Froese, Vincent, et al.
Published: (2021)
by: Froese, Vincent, et al.
Published: (2021)
Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking
by: Chakraborty, Diptarka, et al.
Published: (2026)
by: Chakraborty, Diptarka, et al.
Published: (2026)
A Scalable and Unified Framework to Weighted Rank Aggregation
by: Carmel, Amir, et al.
Published: (2026)
by: Carmel, Amir, et al.
Published: (2026)
Online Sparsification of Bipartite-Like Clusters in Graphs
by: Das, Joyentanuj, et al.
Published: (2025)
by: Das, Joyentanuj, et al.
Published: (2025)
Equivalence Testing: The Power of Bounded Adaptivity
by: Chakraborty, Diptarka, et al.
Published: (2024)
by: Chakraborty, Diptarka, et al.
Published: (2024)
Fair Secretaries with Unfair Predictions
by: Balkanski, Eric, et al.
Published: (2024)
by: Balkanski, Eric, et al.
Published: (2024)
A Scalable Algorithm for Individually Fair K-means Clustering
by: Bateni, MohammadHossein, et al.
Published: (2024)
by: Bateni, MohammadHossein, et al.
Published: (2024)
Clustering to Minimize Cluster-Aware Norm Objectives
by: Herold, Martin G., et al.
Published: (2024)
by: Herold, Martin G., et al.
Published: (2024)
Replicable Clustering
by: Esfandiari, Hossein, et al.
Published: (2023)
by: Esfandiari, Hossein, et al.
Published: (2023)
Online Multi-Class Selection with Group Fairness Guarantee
by: Zargari, Faraz, et al.
Published: (2025)
by: Zargari, Faraz, et al.
Published: (2025)
Fairness in Monotone $k$-submodular Maximization: Algorithms and Applications
by: Zhu, Yanhui, et al.
Published: (2024)
by: Zhu, Yanhui, et al.
Published: (2024)
A Polynomial-Time Approximation for Pairwise Fair $k$-Median Clustering
by: Bandyapadhyay, Sayan, et al.
Published: (2024)
by: Bandyapadhyay, Sayan, et al.
Published: (2024)
A Broader View on Clustering under Cluster-Aware Norm Objectives
by: Herold, Martin G., et al.
Published: (2025)
by: Herold, Martin G., et al.
Published: (2025)
Coreset Spectral Clustering
by: Jourdan, Ben, et al.
Published: (2025)
by: Jourdan, Ben, et al.
Published: (2025)
On Socially Fair Low-Rank Approximation and Column Subset Selection
by: Song, Zhao, et al.
Published: (2024)
by: Song, Zhao, et al.
Published: (2024)
Approximating Fair $k$-Min-Sum-Radii in Euclidean Space
by: Drexler, Lukas, et al.
Published: (2023)
by: Drexler, Lukas, et al.
Published: (2023)
Multilayer Correlation Clustering
by: Miyauchi, Atsushi, et al.
Published: (2024)
by: Miyauchi, Atsushi, et al.
Published: (2024)
Clustering with Label Consistency
by: Chakraborty, Diptarka, et al.
Published: (2025)
by: Chakraborty, Diptarka, et al.
Published: (2025)
Learning-Augmented Hierarchical Clustering
by: Braverman, Vladimir, et al.
Published: (2025)
by: Braverman, Vladimir, et al.
Published: (2025)
Learning Augmented Graph $k$-Clustering
by: Fan, Chenglin, et al.
Published: (2025)
by: Fan, Chenglin, et al.
Published: (2025)
Clustering with Non-adaptive Subset Queries
by: Black, Hadley, et al.
Published: (2024)
by: Black, Hadley, et al.
Published: (2024)
Incremental (k, z)-Clustering on Graphs
by: Cruciani, Emilio, et al.
Published: (2026)
by: Cruciani, Emilio, et al.
Published: (2026)
Hierarchical Clustering via Local Search
by: Jowhari, Hossein
Published: (2024)
by: Jowhari, Hossein
Published: (2024)
Learning-Augmented Streaming Algorithms for Correlation Clustering
by: Dong, Yinhao, et al.
Published: (2025)
by: Dong, Yinhao, et al.
Published: (2025)
Average Sensitivity of Hierarchical $k$-Median Clustering
by: Li, Shijie, et al.
Published: (2025)
by: Li, Shijie, et al.
Published: (2025)
Dynamic Correlation Clustering in Sublinear Update Time
by: Cohen-Addad, Vincent, et al.
Published: (2024)
by: Cohen-Addad, Vincent, et al.
Published: (2024)
Dynamic Spectral Clustering with Provable Approximation Guarantee
by: Laenen, Steinar, et al.
Published: (2024)
by: Laenen, Steinar, et al.
Published: (2024)
Optimal Clustering with Dependent Costs in Bayesian Networks
by: Wu, Paul Pao-Yen, et al.
Published: (2023)
by: Wu, Paul Pao-Yen, et al.
Published: (2023)
Query-Efficient Correlation Clustering with Noisy Oracle
by: Kuroki, Yuko, et al.
Published: (2024)
by: Kuroki, Yuko, et al.
Published: (2024)
Local Search-based Individually Fair Clustering with Outliers
by: Maity, Binita, et al.
Published: (2025)
by: Maity, Binita, et al.
Published: (2025)
SpEx: A Spectral Approach to Explainable Clustering
by: Argov, Tal, et al.
Published: (2025)
by: Argov, Tal, et al.
Published: (2025)
Dynamic Consistent $k$-Center Clustering with Optimal Recourse
by: Forster, Sebastian, et al.
Published: (2024)
by: Forster, Sebastian, et al.
Published: (2024)
Adaptive Power Iteration Method for Differentially Private PCA
by: Nguyen, Ta Duy, et al.
Published: (2026)
by: Nguyen, Ta Duy, et al.
Published: (2026)
Similar Items
-
A Generic Framework for Fair Consensus Clustering in Streams
by: Chakraborty, Diptarka, et al.
Published: (2026) -
Creating Robust and Fair Graph Structures for Connectivity and Clustering
by: Chatterjee, Kushagra
Published: (2026) -
Clustering Permutations: New Techniques with Streaming Applications
by: Chakraborty, Diptarka, et al.
Published: (2022) -
Generalizing Fair Clustering to Multiple Groups: Algorithms and Applications
by: Chakraborty, Diptarka, et al.
Published: (2025) -
Gabow's $O(\sqrt{n}m)$ Maximum Cardinality Matching Algorithm, Revisited
by: Mehlhorn, Kurt, et al.
Published: (2026)