2 papers
math.OC2025
Exponential stability of finite- consensus-based optimization
Simone Göttlich, Jacob Heieck, Andreas Neuenkirch
We study the finite-agent behavior of Consensus-Based Optimization (CBO), a recent metaheuristic for the global minimization of a function, that combines drift toward a consensus e…
stat.ML2024
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…