Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias

Yifan Chen, Xiaoou Cheng, Jonathan Niles-Weed +1

The unadjusted Langevin algorithm is commonly used to sample probability distributions in extremely high-dimensional settings. However, existing analyses of the algorithm for stron…