Publications

(2025). Tests of Missing Completely At Random based on sample covariance matrices. In The Annals of Statistics, to appear. I contributed to the R-package MCARtest.

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(2024). Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities. In the Proceedings of Machine Learning Research (Contributed talk at the 6th Symposium on Advances in Approximate Bayesian Inference).

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(2022). Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions. In the Transactions on Machine Learning Research.

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