Pages that link to "Item:Q2194045"
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The following pages link to On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems (Q2194045):
Displaying 30 items.
- Isogeometric multilevel quadrature for forward and inverse random acoustic scattering (Q2060153) (← links)
- Variational inference for nonlinear inverse problems via neural net kernels: comparison to Bayesian neural networks, application to topology optimization (Q2083125) (← links)
- Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems (Q2117305) (← links)
- Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion (Q2128063) (← links)
- Multimodal information gain in Bayesian design of experiments (Q2135895) (← links)
- The computational asymptotics of Gaussian variational inference and the Laplace approximation (Q2172111) (← links)
- Sparse approximation of triangular transports. I: The finite-dimensional case (Q2672289) (← links)
- Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty (Q2674073) (← links)
- Bayesian neural network priors for edge-preserving inversion (Q2674903) (← links)
- Scaling limits in computational Bayesian inversion (Q2953004) (← links)
- Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs (Q5028414) (← links)
- A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles (Q5052904) (← links)
- Shape reconstructions by using plasmon resonances (Q5066872) (← links)
- Certified dimension reduction in nonlinear Bayesian inverse problems (Q5082037) (← links)
- Multilevel Monte Carlo Estimation of the Expected Value of Sample Information (Q5139350) (← links)
- Determination of the reaction coefficient in a time dependent nonlocal diffusion process (Q5148431) (← links)
- Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion (Q5158929) (← links)
- A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors (Q5880612) (← links)
- On the Error Rate of Importance Sampling with Randomized Quasi-Monte Carlo (Q5886241) (← links)
- Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
- Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation (Q6062239) (← links)
- Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems (Q6109165) (← links)
- Re-thinking high-dimensional mathematical statistics. Abstracts from the workshop held May 15--21, 2022 (Q6115552) (← links)
- Residual-based error correction for neural operator accelerated Infinite-dimensional Bayesian inverse problems (Q6147083) (← links)
- Horseshoe Priors for Edge-Preserving Linear Bayesian Inversion (Q6156655) (← links)
- Shape reconstructions by using plasmon resonances with enhanced sensitivity (Q6187709) (← links)
- Wasserstein convergence rates of increasingly concentrating probability measures (Q6591598) (← links)
- Optimal experimental design: formulations and computations (Q6598420) (← links)
- On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems (Q6663951) (← links)
- Adaptive operator learning for infinite-dimensional Bayesian inverse problems (Q6669407) (← links)
