1 citations · 1 across the 2 of their papers we have counts for
2 papers
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.CO2024★ 1 cited
Improved bounds for the bracketing number of orthants or revisiting an algorithm of Thiémard to compute bounds for the star discrepancy
Michael Gnewuch
We improve the best known upper bound for the bracketing number of -dimensional axis-parallel boxes anchored in (or, put differently, of lower left orthants intersected with…