1 citations · 2 across the 4 of their papers we have counts for
4 papers
Sparsity via Hyperpriors: A Theoretical and Algorithmic Study under Empirical Bayes Framework
Zhitao Li, Yiqiu Dong, Xueying Zeng
This paper presents a comprehensive analysis of hyperparameter estimation within the empirical Bayes framework (EBF) for sparse learning. By studying the influence of hyperpriors o…
Uncertainty Quantification for Linear Inverse Problems with Besov Prior: A Randomize-Then-Optimize Method
Andreas Horst, Babak Maboudi Afkham, Yiqiu Dong +1
In this work, we investigate the use of Besov priors in the context of Bayesian inverse problems. The solution to Bayesian inverse problems is the posterior distribution which natu…
Bayesian decomposition using Besov priors
Andreas Horst, Babak Maboudi Afkham, Yiqiu Dong +1
In many inverse problems, the unknown is composed of multiple components with different regularities, for example, in imaging problems, where the unknown can have both rough and sm…
Dual-grid parameter choice method with application to image deblurring
Markus Juvonen, Bjørn Jensen, Ilmari Pohjola +2
Variational regularization of ill-posed inverse problems is based on minimizing the sum of a data fidelity term and a regularization term. The balance between them is tuned using a…