Towards Optimal Lower Bounds for k-median and k-means Coresets

Towards Optimal Lower Bounds for k-median and k-means Coresets

25 February 2022

Vincent Cohen-Addad

Kasper Green Larsen

Chris Schwiegelshohn

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Papers citing "Towards Optimal Lower Bounds for k-median and k-means Coresets"

18 / 18 papers shown

Title
Learning Augmented Graph $k$ -Clustering Chenglin Fan Kijun Shin 9 0 0 16 Jun 2025
Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces Abderrafik Laakel Hemdanou Youssef Achtoun Mohammed Lamarti Sefian Ismail Tahiri Abdellatif El Afia 52 0 0 04 Apr 2025
A Tight VC-Dimension Analysis of Clustering Coresets with Applications Vincent Cohen-Addad Andrew Draganov Matteo Russo David Saulpic Chris Schwiegelshohn 79 2 0 11 Jan 2025
Accurate Coresets for Latent Variable Models and Regularized Regression Sanskar Ranjan Supratim Shit 89 0 0 31 Dec 2024
Almost-linear Time Approximation Algorithm to Euclidean $k$ -median and $k$ -means Max Dupré la Tour David Saulpic 83 3 0 15 Jul 2024
Settling Time vs. Accuracy Tradeoffs for Clustering Big Data Andrew Draganov David Saulpic Chris Schwiegelshohn 52 5 0 02 Apr 2024
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond Kyriakos Axiotis Vincent Cohen-Addad Monika Henzinger Sammy Jerome Vahab Mirrokni David Saulpic David P. Woodruff Michael Wunder 86 9 0 27 Feb 2024
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming Gregory Dexter P. Drineas David P. Woodruff T. Yasuda 46 0 0 29 Oct 2023
Simple, Scalable and Effective Clustering via One-Dimensional Projections Moses Charikar Monika Henzinger Lunjia Hu Maximilian Vötsch Erik Waingarten 74 2 0 25 Oct 2023
On Generalization Bounds for Projective Clustering Maria Sofia Bucarelli Matilde Fjeldso Larsen Chris Schwiegelshohn M. Toftrup 53 3 0 13 Oct 2023
Fully Scalable MPC Algorithms for Clustering in High Dimension A. Czumaj Guichen Gao S. Jiang Robert Krauthgamer P. Veselý 38 5 0 15 Jul 2023
Differentially Private Clustering in Data Streams Alessandro Epasto Tamalika Mukherjee Peilin Zhong 57 2 0 14 Jul 2023
Near-Optimal Quantum Coreset Construction Algorithms for Clustering Yecheng Xue Xiaoyu Chen Tongyang Li S. Jiang 78 3 0 05 Jun 2023
Parameterized Approximation Schemes for Clustering with General Norm Objectives F. Abbasi Sandip Banerjee J. Byrka Parinya Chalermsook Ameet Gadekar K. Khodamoradi D. Marx Roohani Sharma J. Spoerhase 75 13 0 06 Apr 2023
Provable Data Subset Selection For Efficient Neural Network Training M. Tukan Samson Zhou Alaa Maalouf Daniela Rus Vladimir Braverman Dan Feldman MLT 50 11 0 09 Mar 2023
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering Lingxiao Huang Zhize Li Jialin Sun Haoyu Zhao FedML 92 9 0 26 Oct 2022
An Empirical Evaluation of $k$ -Means Coresets Chris Schwiegelshohn Omar Ali Sheikh-Omar 52 11 0 03 Jul 2022
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications Sayan Bandyapadhyay F. Fomin Kirill Simonov 70 44 0 20 Jul 2020