Optimal Coresets for Low-Dimensional Geometric Median
Peyman Afshani, Chris Schwiegelshohn
Abstract
We investigate coresets for approximating the cost with respect to median queries. In this problem, we are given a set of points P ⊂ ℝ<sup>d</sup> and median queries are ∑<sub>p∈P</sub> ∥p - c∥ for any point c ∈ ℝ<sup>d</sup>. Our goal is to compute a small weighted summary S ⊂ P such that the cost of any median query is approximated within a multiplicative (1 ± ε) factor. We provide matching upper and lower bounds on the number of points contained in S of the order Θ̃ (ε<sup>-d/(d+1)</sup>).
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext bafea1f3-85b2-47c5-b1a5-2ce05c433526Cited by top-tier papers4
- Simple and Optimal Sublinear Algorithms for Mean EstimationBeatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn, Sudarshan ShyamNeurIPS 2025 · 2 citations
- Coreset for Robust Geometric Median: Eliminating Size Dependency on OutliersZiyi Fang, Lingxiao Huang, Runkai YangNeurIPS 2025 · 1 citation
- A Tight VC-Dimension Analysis of Clustering Coresets with ApplicationsVincent Cohen-Addad, Andrew Draganov, Matteo Russo, David Saulpic et al.SODA 2025
- Improved Learning via k-DTW: A Novel Dissimilarity Measure for CurvesAmer Krivosija, Alexander Munteanu, André Nusser, Chris SchwiegelshohnICML 2025
Builds on8
- Improved Coresets for Euclidean k-MeansVincent Cohen-Addad, Kasper Green Larsen, David Saulpic, Chris Schwiegelshohn et al.NeurIPS 2022 · 47 citations
- Coresets for clustering in Euclidean spaces: importance sampling is nearly optimalLingxiao Huang, Nisheeth K. VishnoiSTOC 2020 · 36 citations
- Coresets for Clustering in Graphs of Bounded TreewidthDaniel N. Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang et al.ICML 2020 · 35 citations
- Improved Coresets and Sublinear Algorithms for Power Means in Euclidean SpacesVincent Cohen-Addad, David Saulpic, Chris SchwiegelshohnNeurIPS 2021 · 33 citations
- Towards optimal lower bounds for k-median and k-means coresetsVincent Cohen-Addad, Kasper Green Larsen, David Saulpic, Chris SchwiegelshohnSTOC 2022 · 20 citations
Related papers
- Coreset for Line-Sets ClusteringSagi Lotan, Ernesto Evgeniy Sanches Shayda, Dan FeldmanNeurIPS 2022 · 4 citations
- Relative Error Fair Clustering in the Weak-Strong Oracle ModelVladimir Braverman, Prathamesh Dharangutte, Shaofeng H.-C. Jiang, Hoai-An Nguyen et al.ICML 2025
- Dimensionality Reduction for the Sum-of-Distances MetricZhili Feng, Praneeth Kacham, David P. WoodruffICML 2021 · 12 citations
- Universal Weak CoresetRagesh Jaiswal, Amit KumarAAAI 2024
- On Coresets for Clustering in Small Dimensional Euclidean spacesLingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan WuICML 2023 · 7 citations
