Scalable optimization-based sampling on function space

Scalable optimization-based sampling on function space

3 March 2019

Johnathan M. Bardsley

Youssef Marzouk

Zheng Wang

Papers citing "Scalable optimization-based sampling on function space"

6 / 6 papers shown

Title
Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology Optimization Vahid Keshavarzzadeh Robert M. Kirby A. Narayan BDL 21 2 0 07 May 2022
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty Ki-tae Kim Umberto Villa M. Parno Youssef Marzouk Omar Ghattas N. Petra 28 18 0 01 Dec 2021
Randomized maximum likelihood based posterior sampling Yuming Ba Jana de Wiljes D. Oliver Sebastian Reich 21 7 0 10 Jan 2021
Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems Johnathan M. Bardsley Tiangang Cui 18 1 0 15 Feb 2020
MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure X. Tong M. Morzfeld Y. M. Marzouk 24 28 0 26 Aug 2019
MCMC using Hamiltonian dynamics Radford M. Neal 189 3,268 0 09 Jun 2012