works on
sampling 1stochastic gradient hmc 1stochastic optimization 1tamed algorithms 1wasserstein convergence 1

From the 1 of 1 linked paper with an AI index.

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2026

Tamed Stochastic Gradient Hamiltonian Monte Carlo

Zhuoran Wang, Ying Zhang

The paper introduces a tamed stochastic gradient Hamiltonian Monte Carlo (tSGHMC) method for sampling and stochastic optimization with superlinearly growing gradients, and provides…