A Scalable Algorithm for Individually Fair K-means Clustering
Fuente:
arXiv
Saved in:
| Main Authors: | Bateni, MohammadHossein, Cohen-Addad, Vincent, Epasto, Alessandro, Lattanzi, Silvio |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Correlation Clustering in Sublinear Update Time
by: Cohen-Addad, Vincent, et al.
Published: (2024)
by: Cohen-Addad, Vincent, et al.
Published: (2024)
Retriever Portfolios: A Principled Approach to Adaptive RAG
by: Stouras, Miltiadis, et al.
Published: (2026)
by: Stouras, Miltiadis, et al.
Published: (2026)
Replicable Composition
by: Banihashem, Kiarash, et al.
Published: (2026)
by: Banihashem, Kiarash, et al.
Published: (2026)
Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams
by: Bakshi, Ainesh, et al.
Published: (2023)
by: Bakshi, Ainesh, et al.
Published: (2023)
Scalable Algorithms for Individual Preference Stable Clustering
by: Mosenzon, Ron, et al.
Published: (2024)
by: Mosenzon, Ron, et al.
Published: (2024)
Scalable contribution bounding to achieve privacy
by: Cohen-Addad, Vincent, et al.
Published: (2025)
by: Cohen-Addad, Vincent, et al.
Published: (2025)
Scalable Private Partition Selection via Adaptive Weighting
by: Chen, Justin Y., et al.
Published: (2025)
by: Chen, Justin Y., et al.
Published: (2025)
Multi-View Stochastic Block Models
by: Cohen-Addad, Vincent, et al.
Published: (2024)
by: Cohen-Addad, Vincent, et al.
Published: (2024)
A Tight VC-Dimension Analysis of Clustering Coresets with Applications
by: Cohen-Addad, Vincent, et al.
Published: (2025)
by: Cohen-Addad, Vincent, et al.
Published: (2025)
Time Fairness in Online Knapsack Problems
by: Lechowicz, Adam, et al.
Published: (2023)
by: Lechowicz, Adam, et al.
Published: (2023)
Chamfer-Linkage for Hierarchical Agglomerative Clustering
by: Gowda, Kishen N, et al.
Published: (2026)
by: Gowda, Kishen N, et al.
Published: (2026)
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering
by: Cohen-Addad, Vincent, et al.
Published: (2024)
by: Cohen-Addad, Vincent, et al.
Published: (2024)
Optimal Approximation -- Smoothness Tradeoffs for Soft-Max Functions
by: Epasto, Alessandro, et al.
Published: (2020)
by: Epasto, Alessandro, et al.
Published: (2020)
Differentially Private Clustering in Data Streams
by: Epasto, Alessandro, et al.
Published: (2023)
by: Epasto, Alessandro, et al.
Published: (2023)
Perturb-and-Project: Differentially Private Similarities and Marginals
by: Cohen-Addad, Vincent, et al.
Published: (2024)
by: Cohen-Addad, Vincent, et al.
Published: (2024)
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
by: Basu, Debabrota, et al.
Published: (2025)
by: Basu, Debabrota, et al.
Published: (2025)
Approximating High-Dimensional Earth Mover's Distance as Fast as Closest Pair
by: Beretta, Lorenzo, et al.
Published: (2025)
by: Beretta, Lorenzo, et al.
Published: (2025)
Fair Submodular Cover
by: Chen, Wenjing, et al.
Published: (2024)
by: Chen, Wenjing, et al.
Published: (2024)
Continuous Fairness On Data Streams
by: Ghosh, Subhodeep, et al.
Published: (2026)
by: Ghosh, Subhodeep, et al.
Published: (2026)
Fair Clustering: Critique, Caveats, and Future Directions
by: Dickerson, John, et al.
Published: (2024)
by: Dickerson, John, et al.
Published: (2024)
Causal Equal Protection as Algorithmic Fairness
by: Di Bello, Marcello, et al.
Published: (2024)
by: Di Bello, Marcello, et al.
Published: (2024)
Robust Fair Clustering with Group Membership Uncertainty Sets
by: Duppala, Sharmila, et al.
Published: (2024)
by: Duppala, Sharmila, et al.
Published: (2024)
Distributed Algorithms for Euclidean Clustering
by: Cohen-Addad, Vincent, et al.
Published: (2026)
by: Cohen-Addad, Vincent, et al.
Published: (2026)
Fairness Implications of Encoding Protected Categorical Attributes
by: Mougan, Carlos, et al.
Published: (2022)
by: Mougan, Carlos, et al.
Published: (2022)
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
by: Axiotis, Kyriakos, et al.
Published: (2024)
by: Axiotis, Kyriakos, et al.
Published: (2024)
Fairness in Streaming Submodular Maximization over a Matroid Constraint
by: Halabi, Marwa El, et al.
Published: (2023)
by: Halabi, Marwa El, et al.
Published: (2023)
Fair Clustering in the Sliding Window Model
by: Cohen-Addad, Vincent, et al.
Published: (2025)
by: Cohen-Addad, Vincent, et al.
Published: (2025)
Modification-Fair Cluster Editing
by: Froese, Vincent, et al.
Published: (2021)
by: Froese, Vincent, et al.
Published: (2021)
Correlation Clustering Beyond the Pivot Algorithm
by: Behnezhad, Soheil, et al.
Published: (2024)
by: Behnezhad, Soheil, et al.
Published: (2024)
Constant-Factor Approximations for Doubly Constrained Fair k-Center, k-Median and k-Means
by: Funk, Nicole, et al.
Published: (2026)
by: Funk, Nicole, et al.
Published: (2026)
Efficient Centroid-Linkage Clustering
by: Bateni, MohammadHossein, et al.
Published: (2024)
by: Bateni, MohammadHossein, et al.
Published: (2024)
Fast, Space-Optimal Streaming Algorithms for Clustering and Subspace Embeddings
by: Cohen-Addad, Vincent, et al.
Published: (2025)
by: Cohen-Addad, Vincent, 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)
An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem
by: Cohen-Addad, Vincent, et al.
Published: (2025)
by: Cohen-Addad, Vincent, et al.
Published: (2025)
Near-Optimal Bounds for Parameterized Euclidean k-means
by: Cohen-Addad, Vincent, et al.
Published: (2026)
by: Cohen-Addad, Vincent, et al.
Published: (2026)
Welfare-Centric Clustering
by: Zhang, Claire Jie, et al.
Published: (2025)
by: Zhang, Claire Jie, et al.
Published: (2025)
Deletion Robust Submodular Maximization over Matroids
by: Dütting, Paul, et al.
Published: (2022)
by: Dütting, Paul, et al.
Published: (2022)
Consistent Submodular Maximization
by: Dütting, Paul, et al.
Published: (2024)
by: Dütting, Paul, et al.
Published: (2024)
Fully Dynamic Submodular Maximization over Matroids
by: Dütting, Paul, et al.
Published: (2023)
by: Dütting, Paul, et al.
Published: (2023)
Deletion Robust Non-Monotone Submodular Maximization over Matroids
by: Dütting, Paul, et al.
Published: (2022)
by: Dütting, Paul, et al.
Published: (2022)
Similar Items
-
Dynamic Correlation Clustering in Sublinear Update Time
by: Cohen-Addad, Vincent, et al.
Published: (2024) -
Retriever Portfolios: A Principled Approach to Adaptive RAG
by: Stouras, Miltiadis, et al.
Published: (2026) -
Replicable Composition
by: Banihashem, Kiarash, et al.
Published: (2026) -
Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams
by: Bakshi, Ainesh, et al.
Published: (2023) -
Scalable Algorithms for Individual Preference Stable Clustering
by: Mosenzon, Ron, et al.
Published: (2024)