Research output per year
Research output per year
Personal profile
Fields of Science
- 111 Mathematics
International and National Collaboration
Publications and projects within past five years.
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Individual Privacy Accounting with Gaussian Differential Privacy
Koskela, A., Tobaben, M. & Honkela, A., 2023. 25 p.Research output: Conference materials › Poster › peer-review
Open AccessFile -
Numerical Accounting in the Shuffle Model of Differential Privacy
Koskela, A., Heikkilä, M. & Honkela, A., Mar 2023, In: Transactions on machine learning research. 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Computing low-rank approximations of the Frechet derivative of a matrix function using Krylov subspace methods
Kandolf, P., Koskela, A., Relton, S. D. & Schweitzer, M., Dec 2021, In: Numerical Linear Algebra with Applications. 28, 6, 31 p., 2401.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Differentially Private Bayesian Inference for Generalized Linear Models
Kulkarni, T., Jälkö, J., Koskela, A., Kaski, S. & Honkela, A., 2021, Proceedings of the 38th International Conference on Machine Learning, PMLR. Meila, M. & Zhang, T. (eds.). Journal of Machine Learning Research, p. 5838-5849 12 p. (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
Koskela, A., Jalko, J., Prediger, L. & Honkela, A., 2021, 24th International Conference on Artificial Intelligence and Statistics (AISTATS). Banerjee, A. & Fukumizu, K. (eds.). Microtome Publishing, 10 p. (Proceedings of Machine Learning Research; vol. 130).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile