3 Publications

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[3]
2026 | Published | Conference Paper | IST-REx-ID: 22146 | OA
Kalinin, Nikita, and Joel D. Andersson. “Learning Rate Scheduling with Matrix Factorization for Private Training.” 7th Symposium on Foundations of Responsible Computing, vol. 368, 2:1-2:21, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2026, doi:10.4230/LIPIcs.FORC.2026.2.
[Published Version] View | Files available | DOI | arXiv
 
[2]
2025 | Published | Conference Paper | IST-REx-ID: 20298 | OA
Kalinin, Nikita, and Lukas Steinberger. “Efficient Estimation of a Gaussian Mean with Local Differential Privacy.” Proceedings of the 28th International Conference on Artificial Intelligence and Statistics, vol. 258, ML Research Press, 2025, pp. 118–26.
[Published Version] View | Files available | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 18875 | OA
Kalinin, Nikita, and Christoph Lampert. “Banded Square Root Matrix Factorization for Differentially Private Model Training.” 38th Annual Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 

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3 Publications

Mark all

[3]
2026 | Published | Conference Paper | IST-REx-ID: 22146 | OA
Kalinin, Nikita, and Joel D. Andersson. “Learning Rate Scheduling with Matrix Factorization for Private Training.” 7th Symposium on Foundations of Responsible Computing, vol. 368, 2:1-2:21, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2026, doi:10.4230/LIPIcs.FORC.2026.2.
[Published Version] View | Files available | DOI | arXiv
 
[2]
2025 | Published | Conference Paper | IST-REx-ID: 20298 | OA
Kalinin, Nikita, and Lukas Steinberger. “Efficient Estimation of a Gaussian Mean with Local Differential Privacy.” Proceedings of the 28th International Conference on Artificial Intelligence and Statistics, vol. 258, ML Research Press, 2025, pp. 118–26.
[Published Version] View | Files available | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 18875 | OA
Kalinin, Nikita, and Christoph Lampert. “Banded Square Root Matrix Factorization for Differentially Private Model Training.” 38th Annual Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 

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Citation Style: MLA

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