David Saulpic

5 Publications

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[5]
2024 | Published | Conference Paper | IST-REx-ID: 18308 | OA
La Tour, Max Dupré, et al. “Fully Dynamic K-Means Coreset in near-Optimal Update Time.” 32nd Annual European Symposium on Algorithms, vol. 308, 100, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, doi:10.4230/LIPIcs.ESA.2024.100.
[Published Version] View | Files available | DOI | arXiv
 
[4]
2024 | Published | Conference Paper | IST-REx-ID: 18115 | OA
Axiotis, Kyriakos, et al. “Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 2086–107.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 14769 | OA
Henzinger, Monika, et al. “Experimental Evaluation of Fully Dynamic K-Means via Coresets.” 2024 Proceedings of the Symposium on Algorithm Engineering and Experiments, Society for Industrial and Applied Mathematics, 2024, pp. 220–33, doi:10.1137/1.9781611977929.17.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 18116 | OA
La Tour, Max Dupré, et al. “Making Old Things New: A Unified Algorithm for Differentially Private Clustering.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 12046–86.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[1]
2023 | Published | Conference Paper | IST-REx-ID: 14768 | OA
Cohen-Addad, Vincent, et al. “Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation.” 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, IEEE, 2023, pp. 1105–30, doi:10.1109/focs57990.2023.00066.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
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5 Publications

Mark all

[5]
2024 | Published | Conference Paper | IST-REx-ID: 18308 | OA
La Tour, Max Dupré, et al. “Fully Dynamic K-Means Coreset in near-Optimal Update Time.” 32nd Annual European Symposium on Algorithms, vol. 308, 100, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, doi:10.4230/LIPIcs.ESA.2024.100.
[Published Version] View | Files available | DOI | arXiv
 
[4]
2024 | Published | Conference Paper | IST-REx-ID: 18115 | OA
Axiotis, Kyriakos, et al. “Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 2086–107.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 14769 | OA
Henzinger, Monika, et al. “Experimental Evaluation of Fully Dynamic K-Means via Coresets.” 2024 Proceedings of the Symposium on Algorithm Engineering and Experiments, Society for Industrial and Applied Mathematics, 2024, pp. 220–33, doi:10.1137/1.9781611977929.17.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 18116 | OA
La Tour, Max Dupré, et al. “Making Old Things New: A Unified Algorithm for Differentially Private Clustering.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 12046–86.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[1]
2023 | Published | Conference Paper | IST-REx-ID: 14768 | OA
Cohen-Addad, Vincent, et al. “Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation.” 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, IEEE, 2023, pp. 1105–30, doi:10.1109/focs57990.2023.00066.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
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Citation Style: MLA

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