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Stein’s method and functional inequalities in machine learning

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

The multivariate functional de Jong CLT (opens in new window)

Author(s): Christian Döbler, Mikołaj Kasprzak,Giovanni Peccati
Published in: Probability Theory and Related Fields, Issue 184, 2022, Page(s) 367–399, ISSN 0178-8051
Publisher: Springer Verlag
DOI: 10.1007/s00440-022-01114-3

Vector-valued statistics of binomial processes: Berry-Esseen bounds in the convex distance (opens in new window)

Author(s): Mikołaj Kasprzak, Giovanni Peccati
Published in: Annals of Applied Probability, 2023, ISSN 1050-5164
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/22-aap1897

A Targeted Accuracy Diagnostic for Variational Approximations (opens in new window)

Author(s): Wang, Yu; Kasprzak, Mikołaj; Huggins, Jonathan H.
Published in: Proc. of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Issue 25-27 April 2023, 2023
Publisher: Proceedings of Machine Learning Research
DOI: 10.48550/arxiv.2302.12419

A Fourier Representation of Kernel Stein Discrepancy with Application to Goodness-of-Fit Tests for Measures on Infinite Dimensional Hilbert Spaces

Author(s): George Wynne, Mikołaj Kasprzak, Andrew Duncan
Published in: 2022
Publisher: ArXiv

How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences

Author(s): Mikołaj Kasprzak, Ryan Giordano, Tamara Broderick
Published in: 2022
Publisher: ArXiv

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