Geometric MCMC for Infinite-Dimensional Inverse Problems

20 June 2016

Papers citing "Geometric MCMC for Infinite-Dimensional Inverse Problems"

20 / 70 papers shown

Title
Dimension-free convergence rates for gradient Langevin dynamics in RKHS Boris Muzellec Kanji Sato Mathurin Massias Taiji Suzuki 11 12 0 29 Feb 2020
Projected Stein Variational Gradient Descent Peng Chen Omar Ghattas BDL 50 68 0 09 Feb 2020
MCMC for a hyperbolic Bayesian inverse problem in traffic flow modelling Jeremie Coullon Y. Pokern 14 1 0 07 Jan 2020
Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models Matthew M. Graham Alexandre Hoang Thiery A. Beskos 17 15 0 06 Dec 2019
Solving Bayesian Inverse Problems via Variational Autoencoders Hwan Goh Sheroze Sheriffdeen J. Wittmer T. Bui-Thanh BDL 14 38 0 05 Dec 2019
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset Christian Soize R. Ghanem 19 18 0 28 Oct 2019
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M. Giordano Richard Nickl 29 57 0 16 Oct 2019
Deep Markov Chain Monte Carlo B. Shahbaba L. M. Lomeli T. Chen Shiwei Lan BDL 13 8 0 13 Oct 2019
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference Umberto Villa N. Petra Omar Ghattas 8 61 0 09 Sep 2019
Scalable optimization-based sampling on function space Johnathan M. Bardsley Tiangang Cui Youssef Marzouk Zheng Wang 27 17 0 03 Mar 2019
Bernstein-von Mises theorems and uncertainty quantification for linear inverse problems M. Giordano Hanne Kekkonen 69 19 0 09 Nov 2018
Adaptive Dimension Reduction to Accelerate Infinite-Dimensional Geometric Markov Chain Monte Carlo Shiwei Lan 21 10 0 15 Jul 2018
Multi-core parallel tempering Bayeslands for basin and landscape evolution Rohitash Chandra R. Müller Danial Azam R. Deo N. Butterworth T. Salles Sally Cripps 14 15 0 23 Jun 2018
Two Metropolis-Hastings algorithms for posterior measures with non-Gaussian priors in infinite dimensions Bamdad Hosseini 17 13 0 20 Apr 2018
Dimension-Robust MCMC in Bayesian Inverse Problems Victor Chen Matthew M. Dunlop O. Papaspiliopoulos Andrew M. Stuart 17 36 0 09 Mar 2018
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations T. Schneider Shiwei Lan Andrew M. Stuart J. Teixeira AI4Cl 19 314 0 31 Aug 2017
Geometry and Dynamics for Markov Chain Monte Carlo Alessandro Barp François‐Xavier Briol A. Kennedy Mark Girolami AI4CE 15 31 0 08 May 2017
Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals A. Beskos Ajay Jasra K. Law Youssef Marzouk Yan Zhou 20 40 0 15 Mar 2017
Bayesian Probabilistic Numerical Methods Jon Cockayne Chris J. Oates T. Sullivan Mark Girolami 16 164 0 13 Feb 2017
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012