Tag: delocalization

A hierarchical entropy method for the delocalization of bias in high-dimensional Langevin Monte Carlo arXiv:2509.08619v1 Announce Type: new Abstract: The unadjusted Langevin algorithm is widely used for sampling from complex high-dimensional distributions. It is well known to be biased, with the bias typically scaling linearly with the dimension when measured in squared Wasserstein distance. However,…