21 citations · 21 across the 3 of their papers we have counts for
3 papers
math.NA2024
Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation
Julianne Chung, Scot M. Miller, Malena Sabate Landman +1
In Bayesian inverse problems, it is common to consider several hyperparameters that define the prior and the noise model that must be estimated from the data. In particular, we are…
math.NA2024
Inexact Generalized Golub-Kahan Methods for Large-Scale Bayesian Inverse Problems
Yutong Bu, Julianne Chung
Solving large-scale Bayesian inverse problems presents significant challenges, particularly when the exact (discretized) forward operator is unavailable. These challenges often ari…
math.NA2014★ 21 cited
An Efficient Approach for Computing Optimal Low-Rank Regularized Inverse Matrices
Julianne Chung, Matthias Chung
Standard regularization methods that are used to compute solutions to ill-posed inverse problems require knowledge of the forward model. In many real-life applications, the forward…