Cover Image

Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chung, Julianne, Miller, Scot M., Landman, Malena Sabate, Saibaba, Arvind K.
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient iterative methods for hyperparameter estimation in large-scale linear inverse problems
by: Hall-Hooper, Khalil A, et al.
Published: (2023)

Flexible inner-product free Krylov methods for inverse problems
by: Landman, Malena Sabaté
Published: (2025)

New flexible and inexact Golub-Kahan algorithms for inverse problems
by: Landman, Malena Sabaté, et al.
Published: (2025)

Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems
by: Landman, Malena Sabaté, et al.
Published: (2025)

Parametric kernel low-rank approximations using tensor train decomposition
by: Khan, Abraham, et al.
Published: (2024)

Randomized Krylov methods for inverse problems
by: Chung, Julianne, et al.
Published: (2025)

H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems
by: Brown, Ariana N., et al.
Published: (2024)

Inner Product Free Krylov Methods for Large-Scale Inverse Problems
by: Brown, Ariana N., et al.
Published: (2024)

Iterative Refinement and Flexible Iteratively Reweighed Solvers for Linear Inverse Problems with Sparse Solutions
by: Onisk, Lucas, et al.
Published: (2025)

A Majorization-Minimization with Monte Carlo Approach for Hyperparameter Estimation
by: Buser, Elle, et al.
Published: (2026)

Efficient sampling approaches based on generalized Golub-Kahan methods for large-scale hierarchical Bayesian inverse problems
by: Buser, Elle, et al.
Published: (2025)

Randomized flexible Krylov methods for $\ell_p$ regularization
by: Landman, Malena Sabaté, et al.
Published: (2025)

Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures
by: Hastings, Fred, et al.
Published: (2025)

Many (most?) column subset selection criteria are NP hard for a few columns
by: Ipsen, Ilse C. F., et al.
Published: (2025)

Improved Analysis of Khatri-Rao Random Projections and Applications
by: Saibaba, Arvind K., et al.
Published: (2025)

Multifidelity sensor placement in Bayesian state estimation problems
by: Ramon, Gabriela, et al.
Published: (2026)

Parametric Hierarchical Matrix Approximations to Kernel Matrices
by: Khan, Abraham, et al.
Published: (2025)

Bridging the Gap Between Deterministic and Probabilistic Approaches to State Estimation
by: Kakasenko, Lev, et al.
Published: (2025)

Data-informed posterior approximation for Bayesian linear inverse problems
by: Li, Haibo
Published: (2026)

Non-intrusive optimal experimental design for large-scale nonlinear Bayesian inverse problems using a Bayesian approximation error approach
by: Koval, Karina, et al.
Published: (2024)

Adaptive Randomized Tensor Train Rounding using Khatri-Rao Products
by: Daas, Hussam Al, et al.
Published: (2025)

Bayesian D-Optimal Experimental Designs via Column Subset Selection
by: Eswar, Srinivas, et al.
Published: (2024)

Local sensitivity analysis for Bayesian inverse problems
by: Dölz, Jürgen, et al.
Published: (2025)

A polarization tensor approximation for the Hessian in iterative solvers for non-linear inverse problems
by: Watson, F. M., et al.
Published: (2021)

Discretization-free Bayesian inverse problems in distribution spaces
by: Calvetti, Daniela, et al.
Published: (2026)

Reconstruction of the observable universe from the integrated Sachs-Wolfe effect
by: Chung, Julianne, et al.
Published: (2025)

Randomized Preconditioned Solvers for Strong Constraint 4D-Var Data Assimilation
by: Subrahmanya, Amit N., et al.
Published: (2024)

Caccioppoli-type estimates and $\mathcal{H}$-Matrix approximations to inverses for FEM-BEM couplings
by: Faustmann, Markus, et al.
Published: (2020)

Theory and numerics of subspace approximation of eigenvalue problems
by: Cheung, Siu Wun, et al.
Published: (2024)

Structured Column Subset Selection for Bayesian Optimal Experimental Design
by: Díaz, Hugo, et al.
Published: (2025)

Enhanced inverse-cascade of energy in the averaged Euler equations
by: Nadiga, Balu T., et al.
Published: (2000)

Locally-averaged McCormick relaxations for discretization-regularized inverse problems
by: Kaltenbacher, Barbara, et al.
Published: (2026)

Latent Space Inference via Paired Autoencoders
by: Hart, Emma, et al.
Published: (2026)

Solving Bayesian inverse problems via Fisher adaptive Metropolis adjusted Langevin algorithm
by: Wang, Li-Li, et al.
Published: (2025)

Multilevel-Langevin pathwise average for Gibbs approximation
by: Egéa, Maxime, et al.
Published: (2021)

Greedy techniques for inverse problems
by: Bruno, L. Bruni, et al.
Published: (2025)

Efficient approximations of matrix multiplication using truncated decompositions
by: Kar, Suvendu, et al.
Published: (2025)

Higher order error estimates for regularization of inverse problems under non-additive noise
by: Mirciu, Diana-Elena, et al.
Published: (2024)

Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework
by: Alexanderian, Alen, et al.
Published: (2025)

Efficient iterative linearised solvers for numerical approximations of stochastic Stefan problems
by: Khan, Muhammad Awais, et al.
Published: (2025)