Optimizing Kernel Discrepancies via Subset Selection

Deyao Chen, François Clément, Carola Doerr +1

Kernel discrepancies are a powerful tool for analyzing worst-case errors in quasi-Monte Carlo (QMC) methods. Building on recent advances in optimizing such discrepancy measures, we…