Nikita Kalinin
3 Publications
2026 |
Published |
Conference Paper |
IST-REx-ID: 22146 |
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]
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| Files available
| DOI
| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20298 |
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
2024 |
Published |
Conference Paper |
IST-REx-ID: 18875 |
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]
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| Files available
| arXiv
Grants
3 Publications
2026 |
Published |
Conference Paper |
IST-REx-ID: 22146 |
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
2025 |
Published |
Conference Paper |
IST-REx-ID: 20298 |
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
2024 |
Published |
Conference Paper |
IST-REx-ID: 18875 |
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