3 papers
cs.LG2026
Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis-Hastings with Approximate Operators
Youguang Chen, George Biros
We consider the problem of sampling from a posterior distribution arising in Bayesian inverse problems in science, engineering, and imaging. Our method belongs to the family of ind…
stat.ML2026
Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
Youguang Chen, George Biros
We study sampling from posterior distributions in Bayesian linear inverse problems where , the parameters to observables operator, is computationally expensive. In many applicat…
cs.LG2026
Extensions of the regret-minimization algorithm for optimal design
Youguang Chen, George Biros
We consider the problem of selecting a subset of points from a dataset of unlabeled examples for labeling, with the goal of training a multiclass classifier. To address this, w…