Nikita Kalinin

3 Publications

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[3]
2026 | Published | Conference Paper | IST-REx-ID: 22146 | OA
N. Kalinin and J. D. Andersson, “Learning rate scheduling with matrix factorization for private training,” in 7th Symposium on Foundations of Responsible Computing, Cambridge, MA; United States, 2026, vol. 368.
[Published Version] View | Files available | DOI | arXiv
 
[2]
2025 | Published | Conference Paper | IST-REx-ID: 20298 | OA
N. Kalinin and L. Steinberger, “Efficient estimation of a Gaussian mean with local differential privacy,” in Proceedings of the 28th International Conference on Artificial Intelligence and Statistics, Mai Khao, Thailand, 2025, vol. 258, pp. 118–126.
[Published Version] View | Files available | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 18875 | OA
N. Kalinin and C. Lampert, “Banded square root matrix factorization for differentially private model training,” in 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Published Version] View | Files available | arXiv
 
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3 Publications

Mark all

[3]
2026 | Published | Conference Paper | IST-REx-ID: 22146 | OA
N. Kalinin and J. D. Andersson, “Learning rate scheduling with matrix factorization for private training,” in 7th Symposium on Foundations of Responsible Computing, Cambridge, MA; United States, 2026, vol. 368.
[Published Version] View | Files available | DOI | arXiv
 
[2]
2025 | Published | Conference Paper | IST-REx-ID: 20298 | OA
N. Kalinin and L. Steinberger, “Efficient estimation of a Gaussian mean with local differential privacy,” in Proceedings of the 28th International Conference on Artificial Intelligence and Statistics, Mai Khao, Thailand, 2025, vol. 258, pp. 118–126.
[Published Version] View | Files available | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 18875 | OA
N. Kalinin and C. Lampert, “Banded square root matrix factorization for differentially private model training,” in 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Published Version] View | Files available | arXiv
 
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Citation Style: IEEE

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