Optimal Coresets for Low-Dimensional Geometric Median
Peyman Afshani, Chris Schwiegelshohn
2024年份
3被引次数
4顶会引用
摘要
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>).
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引用它的顶会 Paper4
- Simple and Optimal Sublinear Algorithms for Mean EstimationBeatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn, Sudarshan ShyamNeurIPS 2025 · 被引用 2 次
- Coreset for Robust Geometric Median: Eliminating Size Dependency on OutliersZiyi Fang, Lingxiao Huang, Runkai YangNeurIPS 2025 · 被引用 1 次
- A Tight VC-Dimension Analysis of Clustering Coresets with ApplicationsVincent Cohen-Addad, Andrew Draganov, Matteo Russo, David Saulpic 等SODA 2025
- Improved Learning via k-DTW: A Novel Dissimilarity Measure for CurvesAmer Krivosija, Alexander Munteanu, André Nusser, Chris SchwiegelshohnICML 2025
它引用的顶会 Paper8
- Improved Coresets for Euclidean k-MeansVincent Cohen-Addad, Kasper Green Larsen, David Saulpic, Chris Schwiegelshohn 等NeurIPS 2022 · 被引用 47 次
- Coresets for clustering in Euclidean spaces: importance sampling is nearly optimalLingxiao Huang, Nisheeth K. VishnoiSTOC 2020 · 被引用 36 次
- Coresets for Clustering in Graphs of Bounded TreewidthDaniel N. Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang 等ICML 2020 · 被引用 35 次
- Improved Coresets and Sublinear Algorithms for Power Means in Euclidean SpacesVincent Cohen-Addad, David Saulpic, Chris SchwiegelshohnNeurIPS 2021 · 被引用 33 次
- Towards optimal lower bounds for k-median and k-means coresetsVincent Cohen-Addad, Kasper Green Larsen, David Saulpic, Chris SchwiegelshohnSTOC 2022 · 被引用 20 次
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