Antti Koskela

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Topics

Differential Equations

Generalized Linear Models

Differential Privacy

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Antti Koskela, Jafar Mohammadi
Black Box Differential Privacy Auditing Using Total Variation Distance. CoRR (2024)
Antti Koskela
Differentially Private Convex Approximation of Two-Layer ReLU Networks. CoRR (2024)
Antti Koskela, Rachel Redberg, Yu-Xiang Wang
Privacy Profiles for Private Selection. CoRR (2024)
Rachel Redberg, Antti Koskela, Yu-Xiang Wang
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners. CoRR (2024)
Antti Koskela, Mikko A. Heikkilä, Antti Honkela
Numerical Accounting in the Shuffle Model of Differential Privacy. Trans. Mach. Learn. Res. 2023 (2023)
Antti Koskela, Tejas D. Kulkarni
Practical Differentially Private Hyperparameter Tuning with Subsampling. NeurIPS (2023)
Antti Koskela, Marlon Tobaben, Antti Honkela
Individual Privacy Accounting with Gaussian Differential Privacy. ICLR (2023)
Antti Koskela, Tejas Kulkarni
Practical Differentially Private Hyperparameter Tuning with Subsampling. CoRR (2023)
Rachel Redberg, Antti Koskela, Yu-Xiang Wang
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners. NeurIPS (2023)
Antti Koskela, Marlon Tobaben, Antti Honkela
Individual Privacy Accounting with Gaussian Differential Privacy. CoRR (2022)
Antti Koskela, Antti Honkela
Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT. CoRR (2021)
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
Differentially Private Bayesian Inference for Generalized Linear Models. ICML (2021)
Peter Kandolf, Antti Koskela, Samuel D. Relton, Marcel Schweitzer
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods. Numer. Linear Algebra Appl. 28 (6) (2021)
Antti Koskela, Joonas Jälkö, Lukas Prediger, Antti Honkela
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT. AISTATS (2021)
Antti Koskela, Mikko A. Heikkilä, Antti Honkela
Tight Accounting in the Shuffle Model of Differential Privacy. CoRR (2021)
Ossi Räisä, Antti Koskela, Antti Honkela
Differentially Private Hamiltonian Monte Carlo. CoRR (2021)
Antti Koskela, Antti Honkela
Learning Rate Adaptation for Differentially Private Learning. AISTATS (2020)
Peter Kandolf, Antti Koskela, Samuel D. Relton, Marcel Schweitzer
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods. CoRR (2020)
Antti Koskela, Joonas Jälkö, Antti Honkela
Computing Tight Differential Privacy Guarantees Using FFT. AISTATS (2020)
Antti Koskela, Samuel D. Relton
Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions. CoRR (2020)
Antti Koskela, Joonas Jälkö, Lukas Prediger, Antti Honkela
Tight Approximate Differential Privacy for Discrete-Valued Mechanisms Using FFT. CoRR (2020)
Mikko A. Heikkilä, Antti Koskela, Kana Shimizu, Samuel Kaski, Antti Honkela
Differentially private cross-silo federated learning. CoRR (2020)
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
Differentially Private Bayesian Inference for Generalized Linear Models. CoRR (2020)
Antti Koskela, Joonas Jälkö, Antti Honkela
Computing Exact Guarantees for Differential Privacy. CoRR (2019)
Antti Koskela, Antti Honkela
Learning rate adaptation for differentially private stochastic gradient descent. CoRR (2018)
Elias Jarlebring, Antti Koskela, Giampaolo Mele
Disguised and new quasi-Newton methods for nonlinear eigenvalue problems. Numer. Algorithms 79 (1) (2018)
Antti Koskela, Elias Jarlebring, Michiel E. Hochstenbach
Krylov Approximation of Linear ODEs with Polynomial Parameterization. SIAM J. Matrix Anal. Appl. 37 (2) (2016)
Antti Koskela, Alexander Ostermann
A Moment-Matching Arnoldi Iteration for Linear Combinations of φ Functions. SIAM J. Matrix Anal. Appl. 35 (4) (2014)
Antti Koskela, Alexander Ostermann
Exponential Taylor methods: Analysis and implementation. Comput. Math. Appl. 65 (3) (2013)
Antti Koskela
Approximating the Matrix Exponential of an Advection-Diffusion Operator Using the Incomplete Orthogonalization Method. ENUMATH (2013)