Nikita Kalinin
3 Publications
2026 |
Published |
Conference Paper |
IST-REx-ID: 22146 |
Kalinin, N., & Andersson, J. D. (2026). Learning rate scheduling with matrix factorization for private training. In 7th Symposium on Foundations of Responsible Computing (Vol. 368). Cambridge, MA; United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FORC.2026.2
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20298 |
Kalinin, N., & Steinberger, L. (2025). Efficient estimation of a Gaussian mean with local differential privacy. In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (Vol. 258, pp. 118–126). Mai Khao, Thailand: ML Research Press.
[Published Version]
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18875 |
Kalinin, N., & Lampert, C. (2024). Banded square root matrix factorization for differentially private model training. In 38th Annual Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
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| arXiv
Grants
3 Publications
2026 |
Published |
Conference Paper |
IST-REx-ID: 22146 |
Kalinin, N., & Andersson, J. D. (2026). Learning rate scheduling with matrix factorization for private training. In 7th Symposium on Foundations of Responsible Computing (Vol. 368). Cambridge, MA; United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FORC.2026.2
[Published Version]
View
| Files available
| DOI
| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20298 |
Kalinin, N., & Steinberger, L. (2025). Efficient estimation of a Gaussian mean with local differential privacy. In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (Vol. 258, pp. 118–126). Mai Khao, Thailand: ML Research Press.
[Published Version]
View
| Files available
| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18875 |
Kalinin, N., & Lampert, C. (2024). Banded square root matrix factorization for differentially private model training. In 38th Annual Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Published Version]
View
| Files available
| arXiv