arXiv stat.ML
· Papers
Discrete distributions are learnable from metastable samples
arXiv:2410.13800v4 Announce Type: replace Abstract: Physically motivated stochastic dynamics are widely used to sample from high-dimensional distributions. However, such samplers often get trapped in metastable states, approximately sampling from a distribution that differs significantly from the desired stationary sta