Marcin Wnuk

activity

20192026

most citedOn Negatively Dependent Sampling Schemes, Variance Reduction, and Probabilistic Upper Discrepancy Bounds

12 citations · 26 across the 10 of their papers we have counts for

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Showing 2024Show all

3 papers · 1 filter

math.NA2024

Adaptive and non-adaptive randomized approximation of high-dimensional vectors

Robert J. Kunsch, Marcin Wnuk

We study approximation of the embedding $ℓ_{p}^{m} ↪ ℓ_{q}^{m}$ , $1 \leq p < q \leq \infty$ , based on randomized algorithms that use up to $n$ arbitrary linear function…

math.NA2024

Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning

Michael Gnewuch, Kumar Harsha, Marcin Wnuk

The mean squared error and regularized versions of it are standard loss functions in supervised machine learning. However, calculating these losses for large data sets can be compu…

math.NA2024★ 1 cited

Uniform approximation of vectors using adaptive randomized information

Robert J. Kunsch, Marcin Wnuk

We study approximation of the embedding $ℓ_{p}^{m} \to ℓ_{\infty}^{m}$ , $1 \leq p \leq 2$ , based on randomized adaptive algorithms that use arbitrary linear functionals as…