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ORCIDToni Karvonen
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2020 – today
- 2024
[j16]Filip Tronarp, Toni Karvonen
:
Orthonormal expansions for translation-invariant kernels. J. Approx. Theory 302: 106055 (2024)- [i19]Chris J. Oates, Toni Karvonen, Aretha L. Teckentrup, Marina Strocchi, Steven A. Niederer:
Probabilistic Richardson Extrapolation. CoRR abs/2401.07562 (2024) - [i18]Yuya Suzuki, Toni Karvonen:
Construction of Optimal Algorithms for Function Approximation in Gaussian Sobolev Spaces. CoRR abs/2402.02917 (2024) - [i17]Yuya Suzuki, Nuutti Hyvönen, Toni Karvonen:
Möbius-Transformed Trapezoidal Rule. CoRR abs/2407.13650 (2024) - 2023
- [j15]Toni Karvonen, Chris J. Oates:
Maximum likelihood estimation in Gaussian process regression is ill-posed. J. Mach. Learn. Res. 24: 120:1-120:47 (2023) - [j14]Toni Karvonen:
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation. SIAM/ASA J. Uncertain. Quantification 11(4): 1225-1257 (2023) - [j13]Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä:
A probabilistic Taylor expansion with Gaussian processes. Trans. Mach. Learn. Res. 2023 (2023) - [c11]Kaiyu Li, Daniel Giles, Toni Karvonen, Serge Guillas, François-Xavier Briol:
Multilevel Bayesian Quadrature. AISTATS 2023: 1845-1868 - 2022
- [i16]Toni Karvonen, Fehmi Cirak, Mark Girolami:
Error analysis for a statistical finite element method. CoRR abs/2201.07543 (2022) - [i15]Toni Karvonen:
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Regression. CoRR abs/2203.05400 (2022) - [i14]Toni Karvonen, Chris J. Oates:
Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed. CoRR abs/2203.09179 (2022) - [i13]Filip Tronarp, Toni Karvonen:
Orthonormal Expansions for Translation-Invariant Kernels. CoRR abs/2206.08648 (2022) - [i12]Toni Karvonen:
Approximation in Hilbert spaces of the Gaussian and other weighted power series kernels. CoRR abs/2209.12473 (2022) - 2021
- [j12]Toni Karvonen, Chris J. Oates, Mark Girolami:
Integration in reproducing kernel Hilbert spaces of Gaussian kernels. Math. Comput. 90(331): 2209-2233 (2021) - [j11]Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka:
Kernel-based interpolation at approximate Fekete points. Numer. Algorithms 87(1): 445-468 (2021) - [j10]Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka:
Correction to: Kernel-based interpolation at approximate Fekete points. Numer. Algorithms 87(1): 469-471 (2021) - [j9]Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä:
Improved Calibration of Numerical Integration Error in Sigma-Point Filters. IEEE Trans. Autom. Control. 66(3): 1286-1292 (2021) - [j8]Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä:
Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering. IEEE Trans. Autom. Control. 66(9): 4460-4467 (2021) - [c10]Simo Särkkä, Christos Merkatas, Toni Karvonen:
Gaussian Approximations of SDES in Metropolis-Adjusted Langevin Algorithms. MLSP 2021: 1-6 - [c9]Onur Teymur, Christopher N. Foley, Philip G. Breen, Toni Karvonen, Chris J. Oates:
Black Box Probabilistic Numerics. NeurIPS 2021: 23452-23464 - [i11]Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä:
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations. CoRR abs/2102.00877 (2021) - [i10]Onur Teymur, Christopher N. Foley, Philip G. Breen, Toni Karvonen, Chris J. Oates:
Black Box Probabilistic Numerics. CoRR abs/2106.13718 (2021) - [i9]Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig:
ProbNum: Probabilistic Numerics in Python. CoRR abs/2112.02100 (2021) - 2020
- [j7]Toni Karvonen, Simo Särkkä:
Worst-case optimal approximation with increasingly flat Gaussian kernels. Adv. Comput. Math. 46(2): 21 (2020) - [j6]Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä:
Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions. SIAM/ASA J. Uncertain. Quantification 8(3): 926-958 (2020) - [j5]Toni Karvonen, Silvère Bonnabel, Eric Moulines, Simo Särkkä:
On Stability of a Class of Filters for Nonlinear Stochastic Systems. SIAM J. Control. Optim. 58(4): 2023-2049 (2020) - [i8]Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä:
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions. CoRR abs/2001.10965 (2020) - [i7]Gabriele Santin, Toni Karvonen, Bernard Haasdonk:
Sampling based approximation of linear functionals in Reproducing Kernel Hilbert Spaces. CoRR abs/2004.00556 (2020) - [i6]Toni Karvonen, Chris J. Oates, Mark Girolami:
Integration in reproducing kernel Hilbert spaces of Gaussian kernels. CoRR abs/2004.12654 (2020)
2010 – 2019
- 2019
- [j4]Toni Karvonen, Simo Särkkä, Chris J. Oates:
Symmetry exploits for Bayesian cubature methods. Stat. Comput. 29(6): 1231-1248 (2019) - [j3]Toni Karvonen, Motonobu Kanagawa, Simo Särkkä:
On the positivity and magnitudes of Bayesian quadrature weights. Stat. Comput. 29(6): 1317-1333 (2019) - [j2]Filip Tronarp, Toni Karvonen, Simo Särkkä:
Student's $t$-Filters for Noise Scale Estimation. IEEE Signal Process. Lett. 26(2): 352-356 (2019) - [c8]Toni Karvonen, Filip Tronarp, Simo Särkkä:
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein-Uhlenbeck Prior. MLSP 2019: 1-6 - [i5]Toni Karvonen, Simo Särkkä:
Worst-case optimal approximation with increasingly flat Gaussian kernels. CoRR abs/1906.02096 (2019) - [i4]Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka:
Kernel-based interpolation at approximate Fekete points. CoRR abs/1912.07316 (2019) - 2018
- [j1]Toni Karvonen, Simo Särkkä:
Fully Symmetric Kernel Quadrature. SIAM J. Sci. Comput. 40(2) (2018) - [c7]Toni Karvonen, Silvère Bonnabel, Eric Moulines, Simo Särkkä:
Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics. CDC 2018: 7176-7181 - [c6]Filip Tronarp, Toni Karvonen, Simo Särkkä:
Mixture Representation of the MatéRn class with Applications in State Space Approximations and Bayesian quadrature. MLSP 2018: 1-6 - [c5]Toni Karvonen, Chris J. Oates, Simo Särkkä:
A Bayes-Sard Cubature Method. NeurIPS 2018: 5886-5897 - [i3]Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä:
Improved Calibration of Numerical Integration Error in Sigma-Point Filters. CoRR abs/1811.11474 (2018) - [i2]Toni Karvonen, Motonobu Kanagawa, Simo Särkkä:
On the positivity and magnitudes of Bayesian quadrature weights. CoRR abs/1812.08509 (2018) - 2017
- [c4]Jakub Prüher, Filip Tronarp, Toni Karvonen, Simo Särkkä, Ondrej Straka:
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise. FUSION 2017: 1-8 - [c3]Toni Karvonen, Simo Särkkä:
Classical quadrature rules via Gaussian processes. MLSP 2017: 1-6 - [i1]Toni Karvonen, Simo Särkkä:
Fully symmetric kernel quadrature. CoRR abs/1703.06359 (2017) - 2016
- [c2]Toni Karvonen, Simo Särkkä:
Fourier-Hermite series for stochastic stability analysis of non-linear Kalman filters. FUSION 2016: 1829-1836 - [c1]Toni Karvonen, Simo Särkkä:
Approximate state-space Gaussian processes via spectral transformation. MLSP 2016: 1-6
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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