2026 ICLR Back to square roots: An optimal bound on the matrix factorization error for multi-epoch differentially private SGD Nikita P Kalinin , Ryan McKenna , Jalaj Upadhyay , and 1 more author International Conference on Learning Representations (ICLR 2026), Apr 2026 HTML PDF arXiv DP-lambdaCGD: Efficient Noise Correlation for Differentially Private Model Training Nikita P Kalinin , Ryan McKenna , Rasmus Pagh , and 1 more author arXiv, Jan 2026 HTML PDF arXiv Sampling-Free Privacy Accounting for Matrix Mechanisms under Random Allocation Jan Schuchardt , and Nikita P Kalinin arXiv, Jan 2026 HTML PDF arXiv Matrix Factorization for Practical Continual Mean Estimation Under User-Level Differential Privacy Nikita P Kalinin , Ali Najar , Valentin Roth , and 1 more author arXiv, Jan 2026 HTML PDF 2025 AIRoV DP-KAN: Differentially Private Kolmogorov-Arnold Networks Nikita P Kalinin , Simone Bombari , Hossein Zakerinia , and 1 more author The Austrian Symposium on AI and Vision (AIRoV 2025), Jul 2025 HTML PDF arXiv Binned group algebra factorization for differentially private continual counting Monika Henzinger , Nikita P Kalinin , and Jalaj Upadhyay arXiv, Apr 2025 HTML PDF FORC Normalized square root: Sharper matrix factorization bounds for differentially private continual counting Monika Henzinger , Nikita P Kalinin , and Jalaj Upadhyay Symposium on the Foundations of Responsible Computing (FORC 2026), Sep 2025 HTML PDF FORC Learning Rate Scheduling with Matrix Factorization for Private Training Nikita P Kalinin , and Joel Daniel Andersson Symposium on the Foundations of Responsible Computing (FORC 2026), Nov 2025 HTML PDF NeurIPS Continual Release Moment Estimation with Differential Privacy Nikita P Kalinin , Jalaj Upadhyay , and Christoph H Lampert Conference on Neural Information Processing Systems, Jun 2025 HTML PDF 2024 AISTATS Efficient Estimation of a Gaussian Mean with Local Differential Privacy Nikita Kalinin , and Lukas Steinberger Artificial Intelligence and Statistics (AISTATS) 2025, Feb 2024 HTML PDF NeurIPS Banded square root matrix factorization for differentially private model training Kalinin Nikita , and Lampert Christoph Advances in Neural Information Processing Systems (NeurIPS) 2024, Dec 2024 HTML PDF