Surrogate-Based Bayesian Inference: Uncertainty Quantification and Active Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Roberts, Andrew Gerard, Dietze, Michael C., Huggins, Jonathan H. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
by: Coons, Thomas E., et al.
Published: (2025)
by: Coons, Thomas E., et al.
Published: (2025)
Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
by: Vanmechelen, Pieter, et al.
Published: (2024)
by: Vanmechelen, Pieter, et al.
Published: (2024)
Continuous-discrete smoothing of diffusions
by: Mider, Marcin, et al.
Published: (2017)
by: Mider, Marcin, et al.
Published: (2017)
Bayesian Smoothed Quantile Regression
by: Liu, Bingqi, et al.
Published: (2025)
by: Liu, Bingqi, et al.
Published: (2025)
Bayesian Inference for Non-Conjugate Distance Dependent Chinese Restaurant Process Models
by: Marsh, Joseph, et al.
Published: (2026)
by: Marsh, Joseph, et al.
Published: (2026)
Large sample scaling analysis of the Zig-Zag algorithm for Bayesian inference
by: Agrawal, Sanket, et al.
Published: (2024)
by: Agrawal, Sanket, et al.
Published: (2024)
Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
by: Volkaerts, Maarten, et al.
Published: (2026)
by: Volkaerts, Maarten, et al.
Published: (2026)
A Multiscale Perspective on Maximum Marginal Likelihood Estimation
by: Akyildiz, O. Deniz, et al.
Published: (2024)
by: Akyildiz, O. Deniz, et al.
Published: (2024)
Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
by: Klebanov, Ilja, et al.
Published: (2026)
by: Klebanov, Ilja, et al.
Published: (2026)
Optimizing Data Augmentation through Bayesian Model Selection
by: Matymov, Madi, et al.
Published: (2025)
by: Matymov, Madi, et al.
Published: (2025)
Multifidelity sensor placement in Bayesian state estimation problems
by: Ramon, Gabriela, et al.
Published: (2026)
by: Ramon, Gabriela, et al.
Published: (2026)
Quantile Importance Sampling
by: Datta, Jyotishka, et al.
Published: (2023)
by: Datta, Jyotishka, et al.
Published: (2023)
Hamiltonian Monte Carlo for (Physics) Dummies
by: Mukherjee, Arghya, et al.
Published: (2026)
by: Mukherjee, Arghya, et al.
Published: (2026)
Solving the Poisson equation using coupled Markov chains
by: Douc, Randal, et al.
Published: (2022)
by: Douc, Randal, et al.
Published: (2022)
Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
by: Datta, Jyotishka, et al.
Published: (2022)
by: Datta, Jyotishka, et al.
Published: (2022)
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
by: Shen, Wanggang, et al.
Published: (2026)
by: Shen, Wanggang, et al.
Published: (2026)
Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression
by: Lee, Holden, et al.
Published: (2024)
by: Lee, Holden, et al.
Published: (2024)
A localized consensus-based sampling algorithm
by: Bouillon, Arne, et al.
Published: (2025)
by: Bouillon, Arne, et al.
Published: (2025)
A friendly introduction to triangular transport
by: Ramgraber, Maximilian, et al.
Published: (2025)
by: Ramgraber, Maximilian, et al.
Published: (2025)
Sample continuation in Bayesian hierarchical model via variational inference
by: Liu, Yucong, et al.
Published: (2026)
by: Liu, Yucong, et al.
Published: (2026)
Nonparametric Bayesian Calibration of Computer Models
by: Shi, Haiyi, et al.
Published: (2025)
by: Shi, Haiyi, et al.
Published: (2025)
On sample complexity for covariance estimation via the unadjusted Langevin algorithm
by: Nakakita, Shogo
Published: (2026)
by: Nakakita, Shogo
Published: (2026)
Universal Adaptive Environment Discovery
by: Matymov, Madi, et al.
Published: (2025)
by: Matymov, Madi, et al.
Published: (2025)
Discretization approximation: An alternative to Monte Carlo in Bayesian computation
by: Xiong, Shifeng
Published: (2025)
by: Xiong, Shifeng
Published: (2025)
Bayesian Parameter Inference for Partially Observed Stochastic Volterra Equations
by: Jasra, Ajay, et al.
Published: (2023)
by: Jasra, Ajay, et al.
Published: (2023)
Functional Estimation of the Marginal Likelihood
by: Papaspiliopoulos, Omiros, et al.
Published: (2026)
by: Papaspiliopoulos, Omiros, et al.
Published: (2026)
Robust optimal design of large-scale Bayesian nonlinear inverse problems
by: Chowdhary, Abhijit, et al.
Published: (2024)
by: Chowdhary, Abhijit, et al.
Published: (2024)
Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model
by: Kaurila, Karel, et al.
Published: (2024)
by: Kaurila, Karel, et al.
Published: (2024)
Complexity of exact sampling of the first passage of a stable subordinator
by: Chi, Zhiyi
Published: (2025)
by: Chi, Zhiyi
Published: (2025)
Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems
by: Nicholson, Ruanui, et al.
Published: (2025)
by: Nicholson, Ruanui, et al.
Published: (2025)
Truncated sequential guaranteed estimation for the Cox-Ingersoll-Ross models
by: Alaya, Mohamed Ben, et al.
Published: (2025)
by: Alaya, Mohamed Ben, et al.
Published: (2025)
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
by: Chada, Neil K., et al.
Published: (2023)
by: Chada, Neil K., et al.
Published: (2023)
Hybrid ABBA-GMRES for Unmatched Backprojectors in Large Scale X-Ray Computerized Tomography
by: Bentley, Ryan, et al.
Published: (2026)
by: Bentley, Ryan, et al.
Published: (2026)
On theoretical guarantees and a blessing of dimensionality for nonconvex sampling
by: Chak, Martin
Published: (2024)
by: Chak, Martin
Published: (2024)
On Generalized Transmuted Lifetime Distribution
by: Pandey, Alok Kumar, et al.
Published: (2024)
by: Pandey, Alok Kumar, et al.
Published: (2024)
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization
by: Luo, Hengrui, et al.
Published: (2022)
by: Luo, Hengrui, et al.
Published: (2022)
Deep unfolding of MCMC kernels: scalable, modular & explainable GANs for high-dimensional posterior sampling
by: Spence, Jonathan, et al.
Published: (2026)
by: Spence, Jonathan, et al.
Published: (2026)
Localized Schrödinger Bridge Sampler
by: Gottwald, Georg A., et al.
Published: (2024)
by: Gottwald, Georg A., et al.
Published: (2024)
Stable generative modeling using Schrödinger bridges
by: Gottwald, Georg A., et al.
Published: (2024)
by: Gottwald, Georg A., et al.
Published: (2024)
FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
by: Madhavan, Madhusudan, et al.
Published: (2026)
by: Madhavan, Madhusudan, et al.
Published: (2026)
Similar Items
-
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
by: Coons, Thomas E., et al.
Published: (2025) -
Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
by: Vanmechelen, Pieter, et al.
Published: (2024) -
Continuous-discrete smoothing of diffusions
by: Mider, Marcin, et al.
Published: (2017) -
Bayesian Smoothed Quantile Regression
by: Liu, Bingqi, et al.
Published: (2025) -
Bayesian Inference for Non-Conjugate Distance Dependent Chinese Restaurant Process Models
by: Marsh, Joseph, et al.
Published: (2026)