References of "Kasprzak, Mikolaj 50032561"
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See detailVector-valued statistics of binomial processes: Berry-Esseen bounds in the convex distance
Kasprzak, Mikolaj UL; Peccati, Giovanni UL

in Annals of Applied Probability (in press)

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See detailFunctional Convergence of U-processes with Size-Dependent Kernels
Döbler, Christian UL; Kasprzak, Mikolaj UL; Peccati, Giovanni UL

in Annals of Applied Probability (2022), 32(1), 551-601

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See detailHow good is your Gaussian approximation of the posterior? Finite-sample computable error bounds for a variety of useful divergences
Kasprzak, Mikolaj UL; Giordano, Ryan; Broderick, Tamara

E-print/Working paper (2022)

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See detailA Spectral Representation of Kernel Stein Discrepancy with Application to Goodness-of-Fit Tests for Measures on Infinite Dimensional Hilbert Spaces
Wynne, George; Kasprzak, Mikolaj UL; Duncan, Andrew

E-print/Working paper (2022)

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See detailThe multivariate functional de Jong CLT
Döbler, Christian; Kasprzak, Mikolaj UL; Peccati, Giovanni UL

in Probability Theory and Related Fields (2022), 184(1), 367-399

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See detailStein's method of exchangeable pairs in multivariate functional approximations
Döbler, Christian UL; Kasprzak, Mikolaj UL

in Electronic Journal of Probability (2021), 26

Detailed reference viewed: 98 (10 UL)
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See detailStein’s method for multivariate Brownian approximations of sums under dependence
Kasprzak, Mikolaj UL

in Stochastic Processes and Their Applications (2020), 130(8), 4927-4967

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See detailValidated Variational Inference via Practical Posterior Error Bounds
Huggins, Jonathan; Kasprzak, Mikolaj UL; Campbell, Trevor et al

in Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) (2020, June)

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See detailFunctional approximations with Stein's method of exchangeable pairs
Kasprzak, Mikolaj UL

in Annales Henri Poincare (2020), 56(4), 2540-564

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See detailScalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
Huggins, Jonathan; Campbell, Trevor; Kasprzak, Mikolaj UL et al

in Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019 (2019)

Detailed reference viewed: 49 (9 UL)
See detailPractical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach
Huggins, Jonathan; Kasprzak, Mikolaj UL; Campbell, Trevor et al

E-print/Working paper (2019)

Detailed reference viewed: 67 (5 UL)
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See detailNote on A. Barbour’s paper on Stein’s method for diffusion approximations
Kasprzak, Mikolaj UL; Duncan, Andrew; Vollmer, Sebastian

in Electronic Communications in Probability (2017)

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See detailDiffusion approximations via Stein's method and time changes
Kasprzak, Mikolaj UL

E-print/Working paper (2017)

Detailed reference viewed: 47 (1 UL)