Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison

Simone Göttlich, Jacob Heieck, Andreas Neuenkirch

Low-discrepancy points (also called Quasi-Monte Carlo points) are deterministically and cleverly chosen point sets in the unit cube, which provide an approximation of the uniform d…