sampling 1stochastic gradient hmc 1stochastic optimization 1tamed algorithms 1wasserstein convergence 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.ME2026
Neural Networks of Outcome Weighted Learning for Individualized Treatment Rules
Zhu Wang
Individualized treatment rules (ITRs) formalize precision medicine by assigning treatments according to patient covariates, with the goal of maximizing expected clinical outcomes.…
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…