Constant-Factor Approximations for Doubly Constrained Fair k-Center, k-Median and k-Means
Fuente:
arXiv
Saved in:
| Main Authors: | Funk, Nicole, Hennes, Annika, Hillebrand, Johanna, Sturm, Sarah |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Approximating Fair $k$-Min-Sum-Radii in Euclidean Space
by: Drexler, Lukas, et al.
Published: (2023)
by: Drexler, Lukas, et al.
Published: (2023)
On the Hardness of Approximation of the Fair k-Center Problem
by: Thejaswi, Suhas
Published: (2026)
by: Thejaswi, Suhas
Published: (2026)
FPT Approximations for Fair $k$-Min-Sum-Radii
by: Carta, Lena, et al.
Published: (2024)
by: Carta, Lena, et al.
Published: (2024)
A Subquadratic Time Approximation Algorithm for Individually Fair k-Center
by: Ebbens, Matthijs, et al.
Published: (2024)
by: Ebbens, Matthijs, 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)
Hybrid k-Clustering: Blending k-Median and k-Center
by: Fomin, Fedor V., et al.
Published: (2024)
by: Fomin, Fedor V., et al.
Published: (2024)
Average Sensitivity of Hierarchical $k$-Median Clustering
by: Li, Shijie, et al.
Published: (2025)
by: Li, Shijie, et al.
Published: (2025)
Generalizing Fair Top-$k$ Selection: An Integrative Approach
by: Cai, Guangya
Published: (2026)
by: Cai, Guangya
Published: (2026)
Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
by: Song, Shihong, et al.
Published: (2024)
by: Song, Shihong, et al.
Published: (2024)
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)
A Quantum Approximation Scheme for k-Means
by: Jaiswal, Ragesh
Published: (2023)
by: Jaiswal, Ragesh
Published: (2023)
Facility Location and $k$-Median with Fair Outliers
by: Dabas, Rajni, et al.
Published: (2025)
by: Dabas, Rajni, et al.
Published: (2025)
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)
Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High dimensions
by: Cheng, Kangke, et al.
Published: (2026)
by: Cheng, Kangke, et al.
Published: (2026)
Faster and Simpler Greedy Algorithm for $k$-Median and $k$-Means
by: la Tour, Max Dupré, et al.
Published: (2024)
by: la Tour, Max Dupré, et al.
Published: (2024)
Fairness in Monotone $k$-submodular Maximization: Algorithms and Applications
by: Zhu, Yanhui, et al.
Published: (2024)
by: Zhu, Yanhui, et al.
Published: (2024)
Dynamic Consistent $k$-Center Clustering with Optimal Recourse
by: Forster, Sebastian, et al.
Published: (2024)
by: Forster, Sebastian, et al.
Published: (2024)
$k$-PCA for (non-squared) Euclidean Distances: Polynomial Time Approximation
by: Greenhut, Daniel, et al.
Published: (2025)
by: Greenhut, Daniel, et al.
Published: (2025)
A $(2+\varepsilon)$-Approximation Algorithm for Metric $k$-Median
by: Cohen-Addad, Vincent, et al.
Published: (2025)
by: Cohen-Addad, Vincent, et al.
Published: (2025)
On Equivalence of Parameterized Inapproximability of k-Median, k-Max-Coverage, and 2-CSP
by: S., Karthik C., et al.
Published: (2024)
by: S., Karthik C., et al.
Published: (2024)
Logarithmic Approximations for Fair k-Set Selection
by: Li, Shi, et al.
Published: (2025)
by: Li, Shi, et al.
Published: (2025)
An Improved Greedy Approximation for (Metric) $k$-Means
by: Charikar, Moses, et al.
Published: (2026)
by: Charikar, Moses, et al.
Published: (2026)
Fair Submodular Cover
by: Chen, Wenjing, et al.
Published: (2024)
by: Chen, Wenjing, et al.
Published: (2024)
Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to k-Median
by: Cohen-Addad, Vincent, et al.
Published: (2022)
by: Cohen-Addad, Vincent, et al.
Published: (2022)
Learning Augmented Graph $k$-Clustering
by: Fan, Chenglin, et al.
Published: (2025)
by: Fan, Chenglin, et al.
Published: (2025)
A Faster $k$-means++ Algorithm
by: Liang, Jiehao, et al.
Published: (2022)
by: Liang, Jiehao, et al.
Published: (2022)
Incremental (k, z)-Clustering on Graphs
by: Cruciani, Emilio, et al.
Published: (2026)
by: Cruciani, Emilio, et al.
Published: (2026)
Dynamic algorithms for k-center on graphs
by: Cruciani, Emilio, et al.
Published: (2023)
by: Cruciani, Emilio, et al.
Published: (2023)
Separating $k$-Median from the Supplier Version
by: Anand, Aditya, et al.
Published: (2024)
by: Anand, Aditya, et al.
Published: (2024)
Continuous Fairness On Data Streams
by: Ghosh, Subhodeep, et al.
Published: (2026)
by: Ghosh, Subhodeep, et al.
Published: (2026)
Time Fairness in Online Knapsack Problems
by: Lechowicz, Adam, et al.
Published: (2023)
by: Lechowicz, Adam, et al.
Published: (2023)
Fairness Implications of Encoding Protected Categorical Attributes
by: Mougan, Carlos, et al.
Published: (2022)
by: Mougan, Carlos, et al.
Published: (2022)
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)
A Scalable Algorithm for Individually Fair K-means Clustering
by: Bateni, MohammadHossein, et al.
Published: (2024)
by: Bateni, MohammadHossein, et al.
Published: (2024)
Deterministic $k$-Median Clustering in Near-Optimal Time
by: Costa, Martín, et al.
Published: (2025)
by: Costa, Martín, et al.
Published: (2025)
Connected k-Median with Disjoint and Non-disjoint Clusters
by: Eube, Jan, et al.
Published: (2025)
by: Eube, Jan, et al.
Published: (2025)
Stochastic $k$-Submodular Bandits with Full Bandit Feedback
by: Nie, Guanyu, et al.
Published: (2024)
by: Nie, Guanyu, et al.
Published: (2024)
Generalized Top-k Mallows Model for Ranked Choices
by: Haddadan, Shahrzad, et al.
Published: (2025)
by: Haddadan, Shahrzad, et al.
Published: (2025)
On Tight Robust Coresets for $k$-Medians Clustering
by: Huang, Lingxiao, et al.
Published: (2025)
by: Huang, Lingxiao, et al.
Published: (2025)
Beyond 2-approximation for k-Center in Graphs
by: Jin, Ce, et al.
Published: (2025)
by: Jin, Ce, et al.
Published: (2025)
Similar Items
-
Approximating Fair $k$-Min-Sum-Radii in Euclidean Space
by: Drexler, Lukas, et al.
Published: (2023) -
On the Hardness of Approximation of the Fair k-Center Problem
by: Thejaswi, Suhas
Published: (2026) -
FPT Approximations for Fair $k$-Min-Sum-Radii
by: Carta, Lena, et al.
Published: (2024) -
A Subquadratic Time Approximation Algorithm for Individually Fair k-Center
by: Ebbens, Matthijs, et al.
Published: (2024) -
A Polynomial-Time Approximation for Pairwise Fair $k$-Median Clustering
by: Bandyapadhyay, Sayan, et al.
Published: (2024)