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Adaptive Dimension Reduction to Accelerate Infinite-Dimensional
  Geometric Markov Chain Monte Carlo
v1v2 (latest)

Adaptive Dimension Reduction to Accelerate Infinite-Dimensional Geometric Markov Chain Monte Carlo

15 July 2018
Shiwei Lan
ArXiv (abs)PDFHTML

Papers citing "Adaptive Dimension Reduction to Accelerate Infinite-Dimensional Geometric Markov Chain Monte Carlo"

5 / 5 papers shown
Title
Multilevel Delayed Acceptance MCMC
Multilevel Delayed Acceptance MCMC
Mikkel B. Lykkegaard
T. Dodwell
C. Fox
Grigorios Mingas
Robert Scheichl
61
15
0
08 Feb 2022
Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse
  Problems
Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems
Tiangang Cui
O. Zahm
63
25
0
26 Feb 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems
  using Deep Neural Networks
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks
Shiwei Lan
Shuyi Li
Babak Shahbaba
UQCVBDL
86
16
0
11 Jan 2021
Deep Markov Chain Monte Carlo
Deep Markov Chain Monte Carlo
Babak Shahbaba
L. M. Lomeli
T. Chen
Shiwei Lan
BDL
66
8
0
13 Oct 2019
MALA-within-Gibbs samplers for high-dimensional distributions with
  sparse conditional structure
MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure
X. Tong
M. Morzfeld
Y. M. Marzouk
73
28
0
26 Aug 2019
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