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1901.03958
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On the Convergence of the Laplace Approximation and Noise-Level-Robustness of Laplace-based Monte Carlo Methods for Bayesian Inverse Problems
13 January 2019
C. Schillings
Björn Sprungk
Philipp Wacker
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Papers citing
"On the Convergence of the Laplace Approximation and Noise-Level-Robustness of Laplace-based Monte Carlo Methods for Bayesian Inverse Problems"
18 / 18 papers shown
Title
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Perspectives on locally weighted ensemble Kalman methods
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How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
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Tamara Broderick
70
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29 Sep 2022
Dimension free non-asymptotic bounds on the accuracy of high dimensional Laplace approximation
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78
22
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23 Apr 2022
Robust random walk-like Metropolis-Hastings algorithms for concentrating posteriors
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Björn Sprungk
60
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24 Feb 2022
Bayesian neural network priors for edge-preserving inversion
Chen Li
Matthew M. Dunlop
G. Stadler
46
13
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20 Dec 2021
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
Shivendra Agrawal
Hwanwoo Kim
D. Sanz-Alonso
A. Strang
75
10
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26 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
124
61
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03 Nov 2021
Multimodal Information Gain in Bayesian Design of Experiments
Q. Long
127
16
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16 Aug 2021
On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems
Jan Bohr
Richard Nickl
57
17
0
17 May 2021
A hybrid Gibbs sampler for edge-preserving tomographic reconstruction with uncertain view angles
Felipe Uribe
Johnathan M. Bardsley
Yiqiu Dong
P. Hansen
N. A. B. Riis
58
13
0
14 Apr 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation
Zuheng Xu
Trevor Campbell
105
8
0
13 Apr 2021
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems
T. Helin
Remo Kretschmann
51
18
0
11 Dec 2020
Context-aware surrogate modeling for balancing approximation and sampling costs in multi-fidelity importance sampling and Bayesian inverse problems
Terrence Alsup
Benjamin Peherstorfer
77
11
0
22 Oct 2020
Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs
T. Goda
Tomohiko Hironaka
Wataru Kitade
Adam Foster
67
23
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18 May 2020
Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion
Matthew M. Dunlop
Yunan Yang
136
12
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07 Apr 2020
Advanced Multilevel Monte Carlo Methods
Ajay Jasra
K. Law
C. Suciu
73
16
0
24 Apr 2017
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