Scholar
Nikita P. Kalinin
Google Scholar ID: nblAbqUAAAAJ
Institute of Science and Technology Austria
differential privacy
machine learning
statistics
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Citations & Impact
All-time
Citations
23
H-index
3
i10-index
0
Publications
9
Co-authors
9
list available
Publications
12 items
Improved Error Bounds for Pure Differentially Private Continual Counting via Matrix Factorization
2026
Cited
0
Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy
2026
Cited
0
Beyond Square Roots: Explicit Memory-Efficient Factorization for Multi-Epoch Private Learning
2026
Cited
0
DP-$\lambda$CGD: Efficient Noise Correlation for Differentially Private Model Training
2026
Cited
0
Matrix Factorization for Practical Continual Mean Estimation Under User-Level Differential Privacy
2026
Cited
0
DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning
2025
Cited
0
Learning Rate Scheduling with Matrix Factorization for Private Training
2025
Cited
0
Normalized Square Root: Sharper Matrix Factorization Bounds for Differentially Private Continual Counting
2025
Cited
0
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Co-authors
8 total
Christoph H. Lampert
Institute of Science and Technology Austria (ISTA)
Jalaj Upadhyay
Assistant Professor, Rutgers
Monika Henzinger
Professor of Computer Science, Institute of Science and Technology Austria (ISTA)
Ryan McKenna
Research Scientist, Google
Simone Bombari
PhD Student, ISTA
Hossein Zakerinia
Ph.D. Student, ISTAustria
Edwige Cyffers
Postdoctoral Fellow, ISTA
Ionut-Vlad Modoranu
PhD student at Institute of Science and Technology Austria (ISTA)
