On the Convergence of the Laplace Approximation and Noise-Level-Robustness of Laplace-based Monte Carlo Methods for Bayesian Inverse Problems

13 January 2019

Papers citing "On the Convergence of the Laplace Approximation and Noise-Level-Robustness of Laplace-based Monte Carlo Methods for Bayesian Inverse Problems"

10 / 10 papers shown

Title
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 104 5 0 22 Feb 2024
Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation Richard Nickl 57 76 0 06 Jul 2017
On a generalization of the preconditioned Crank-Nicolson Metropolis algorithm Daniel Rudolf Björn Sprungk 41 67 0 14 Apr 2015
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems A. Alexanderian N. Petra G. Stadler Omar Ghattas 50 142 0 22 Oct 2014
Frequentist coverage of adaptive nonparametric Bayesian credible sets Botond Szabó Van der Vaart V. Zanten 62 159 0 16 Oct 2013
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures I. Castillo Richard Nickl 61 130 0 09 Oct 2013
Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors Sebastian J. Vollmer 83 32 0 09 Feb 2013
Nonparametric Bernstein-von Mises theorems in Gaussian white noise I. Castillo Richard Nickl 100 147 0 19 Aug 2012
Complexity Analysis of Accelerated MCMC Methods for Bayesian Inversion V. H. Hoang Christoph Schwab Andrew M. Stuart 55 112 0 10 Jul 2012
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster S. Cotter Gareth O. Roberts Andrew M. Stuart D. White 81 480 0 03 Feb 2012