Antti Koskela

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Tight Approximate Differential Privacy for Discrete-Valued Mechanisms Using FFT pdf

Antti Honkela, Joonas Jälkö, Antti Koskela, 2020, ArXiv.

Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT.

Antti Honkela, Antti Koskela, Lukas Prediger, 2020 .

Krylov Approximation of Linear ODEs with Polynomial Parameterization

Elias Jarlebring, Michiel E. Hochstenbach, Antti Koskela, 2016, SIAM J. Matrix Anal. Appl..

Ketterän ohjelmistokehityksen ja kevyen käytettävyystestauksen yhteensovittaminen : tapaustutkimus

Antti Koskela, 2014 .

Disguised and new quasi-Newton methods for nonlinear eigenvalue problems

Elias Jarlebring, Antti Koskela, Giampaolo Mele, 2017, Numerical Algorithms.

Learning rate adaptation for differentially private stochastic gradient descent pdf

Antti Honkela, Antti Koskela, A. Honkela, 2018, ArXiv.

Computing low‐rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods pdf

Samuel D. Relton, Antti Koskela, Marcel Schweitzer, 2020, Numer. Linear Algebra Appl..

Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions pdf

Samuel D. Relton, Antti Koskela, 2020, ArXiv.

Differentially private cross-silo federated learning pdf

Antti Honkela, Samuel Kaski, Kana Shimizu, 2020, ArXiv.

Computing Tight Differential Privacy Guarantees Using FFT

Antti Honkela, Joonas Jälkö, Antti Koskela, 2020, AISTATS.

Splitting methods for time integration of trajectories in combined electric and magnetic fields.

Alexander Ostermann, Antti Koskela, Alexander Kendl, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

Exponential Taylor methods: Analysis and implementation

Alexander Ostermann, Antti Koskela, A. Ostermann, 2013, Comput. Math. Appl..

Differentially Private Bayesian Inference for Generalized Linear Models pdf

Antti Honkela, Joonas Jälkö, Samuel Kaski, 2020, ArXiv.

Learning rate adaptation for federated and differentially private learning

Antti Honkela, Antti Koskela, A. Honkela, 2018, 1809.03832.

Learning Rate Adaptation for Differentially Private Learning

Antti Honkela, Antti Koskela, A. Honkela, 2020, AISTATS.

Approximating the Matrix Exponential of an Advection-Diffusion Operator Using the Incomplete Orthogonalization Method

Antti Koskela, A. Koskela, 2013, ENUMATH.

A Moment-Matching Arnoldi Iteration for Linear Combinations of φ Functions

Alexander Ostermann, Antti Koskela, A. Ostermann, 2014, SIAM J. Matrix Anal. Appl..

Tight Accounting in the Shuffle Model of Differential Privacy pdf

Antti Honkela, Mikko A. Heikkilä, Antti Koskela, 2021, ArXiv.

Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT

Antti Honkela, Joonas Jälkö, Antti Koskela, 2020, AISTATS.

Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT pdf

Antti Honkela, Antti Koskela, A. Honkela, 2021, ArXiv.

Differentially Private Hamiltonian Monte Carlo pdf

Antti Honkela, Antti Koskela, Ossi Räisä, 2021, ArXiv.

Differentially Private Bayesian Inference for Generalized Linear Models

Antti Honkela, Joonas Jälkö, Samuel Kaski, 2021, ICML.

A Structure Preserving Krylov Subspace Method for Large Scale Differential Riccati Equations

Hermann Mena, Antti Koskela, H. Mena, 2017 .

Krylov integrators for Hamiltonian systems

Timo Eirola, Antti Koskela, T. Eirola, 2017, BIT Numerical Mathematics.