| On negatively dependent sampling schemes, variance reduction, and probabilistic upper discrepancy bounds M Wnuk, M Gnewuch, N Hebbinghaus Discrepancy Theory 26, 43-67, 2020 | 13 | 2020 |
| Randomized approximation of summable sequences–adaptive and non-adaptive RJ Kunsch, E Novak, M Wnuk Journal of Approximation Theory, 106056, 2024 | 7 | 2024 |
| Note on pairwise negative dependence of randomly shifted and jittered rank-1 lattices M Wnuk, M Gnewuch Operations Research Letters 48 (4), 410-414, 2020 | 7 | 2020 |
| Explicit error bounds for randomized Smolyak algorithms and an application to infinite-dimensional integration M Gnewuch, M Wnuk Journal of Approximation Theory 251, 105342, 2020 | 4 | 2020 |
| Randomized sparse grid algorithms for multivariate integration on Haar wavelet spaces M Wnuk, M Gnewuch IMA Journal of Numerical Analysis 43 (1), 73-98, 2023 | 2 | 2023 |
| A short note on compact embeddings of reproducing kernel Hilbert spaces in for infinite-variate function approximation M Wnuk arXiv preprint arXiv:2206.07432, 2022 | 2 | 2022 |
| Uniform approximation of vectors using adaptive randomized information RJ Kunsch, M Wnuk arXiv preprint arXiv:2408.01098, 2024 | 1 | 2024 |
| Adaptive and non-adaptive randomized approximation of high-dimensional vectors RJ Kunsch, M Wnuk arXiv preprint arXiv:2410.23067, 2024 | | 2024 |
| Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning M Gnewuch, K Harsha, M Wnuk arXiv preprint arXiv:2409.13453, 2024 | | 2024 |
| Infinite-Variate L²-Approximation with Nested Subspace Sampling K Harsha, M Gnewuch, M Wnuk Monte Carlo and Quasi-Monte Carlo Methods: MCQMC 2022, Linz, Austria, July …, 2024 | | 2024 |
| A Note on Compact Embeddings of Reproducing Kernel Hilbert Spaces in and Infinite-Variate Function Approximation M Wnuk International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2022 | | 2022 |
| Infinite-Variate -Approximation with Nested Subspace Sampling K Harsha, M Gnewuch, M Wnuk International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2022 | | 2022 |
| Randomized Algorithms for High-Dimensional Integration and Approximation M Wnuk | | 2019 |