On theoretical guarantees and a blessing of dimensionality for nonconvex sampling

Martin Chak

Guarantees for algorithms sampling from nonlogconcave target measures on ${\mathbb{R}}^d$ are studied. For the class of measures with logdensities that have bounded Hessians and are…