5 Publications

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[5]
2024 | Published | Conference Paper | IST-REx-ID: 14769 | OA
Experimental evaluation of fully dynamic k-means via coresets
M. Henzinger, D. Saulpic, L. Sidl, in:, 2024 Proceedings of the Symposium on Algorithm Engineering and Experiments, Society for Industrial & Applied Mathematics, 2024, pp. 220–233.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[4]
2024 | Published | Conference Paper | IST-REx-ID: 18115 | OA
Data-efficient learning via clustering-based sensitivity sampling: Foundation models and beyond
K. Axiotis, V. Cohen-Addad, M. Henzinger, S. Jerome, V. Mirrokni, D. Saulpic, D.P. Woodruff, M. Wunder, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 2086–2107.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 18116 | OA
Making old things new: A unified algorithm for differentially private clustering
M.D. La Tour, M. Henzinger, D. Saulpic, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 12046–12086.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 18308 | OA
Fully dynamic k-means coreset in near-optimal update time
M.D. La Tour, M. Henzinger, D. Saulpic, in:, 32nd Annual European Symposium on Algorithms, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
[Published Version] View | Files available | DOI | arXiv
 
[1]
2023 | Published | Conference Paper | IST-REx-ID: 14768 | OA
Deterministic clustering in high dimensional spaces: Sketches and approximation
V. Cohen-Addad, D. Saulpic, C. Schwiegelshohn, in:, 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, IEEE, 2023, pp. 1105–1130.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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5 Publications

Mark all

[5]
2024 | Published | Conference Paper | IST-REx-ID: 14769 | OA
Experimental evaluation of fully dynamic k-means via coresets
M. Henzinger, D. Saulpic, L. Sidl, in:, 2024 Proceedings of the Symposium on Algorithm Engineering and Experiments, Society for Industrial & Applied Mathematics, 2024, pp. 220–233.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[4]
2024 | Published | Conference Paper | IST-REx-ID: 18115 | OA
Data-efficient learning via clustering-based sensitivity sampling: Foundation models and beyond
K. Axiotis, V. Cohen-Addad, M. Henzinger, S. Jerome, V. Mirrokni, D. Saulpic, D.P. Woodruff, M. Wunder, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 2086–2107.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 18116 | OA
Making old things new: A unified algorithm for differentially private clustering
M.D. La Tour, M. Henzinger, D. Saulpic, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 12046–12086.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 18308 | OA
Fully dynamic k-means coreset in near-optimal update time
M.D. La Tour, M. Henzinger, D. Saulpic, in:, 32nd Annual European Symposium on Algorithms, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
[Published Version] View | Files available | DOI | arXiv
 
[1]
2023 | Published | Conference Paper | IST-REx-ID: 14768 | OA
Deterministic clustering in high dimensional spaces: Sketches and approximation
V. Cohen-Addad, D. Saulpic, C. Schwiegelshohn, in:, 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, IEEE, 2023, pp. 1105–1130.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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