We study a class of interacting particle systems for implementing a marg...
In this article we consider sampling from log concave distributions in
H...
We introduce a new Langevin dynamics based algorithm, called
e-THεO POUL...
Rate of convergence results are presented for a new class of explicit Eu...
The recent statistical finite element method (statFEM) provides a cohere...
We consider non-convex stochastic optimization problems where the object...
We present a new class of adaptive stochastic optimization algorithms, w...
A new approach in stochastic optimization via the use of stochastic grad...
Artificial neural networks (ANNs) are typically highly nonlinear systems...
We provide a nonasymptotic analysis of the convergence of the stochastic...
Within the context of empirical risk minimization, see Raginsky, Rakhlin...
We consider the problem of sampling from a target distribution which is
...
A new (unadjusted) Langevin Monte Carlo (LMC) algorithm with improved ra...