A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers

This problem is particularly challenging when using gradient-based Markov Chain Monte Carlo (MCMC) algorithms due to diminishing gradients, which occurs when the tails of the target density decay at a slow (e.g.