1 citations · 1 across the 4 of their papers we have counts for
4 papers
Safe, Scalable, and Accurate Bayes Posterior Sampling for Large-Data Generalized Linear Mixed Models
Youngsoo Baek, Samuel I. Berchuck
We consider the problem of scalable sampling algorithms to fit Bayesian generalized linear mixed models on large datasets. Stochastic gradient Langevin dynamics, coupled with smoot…
Frequentist Coverage of Bayes Posteriors in Nonlinear Inverse Problems with Gaussian Priors
Youngsoo Baek, Katerina Papagiannouli
We study asymptotic frequentist coverage and approximately Gaussian properties of Bayes posterior credible sets in nonlinear inverse problems when a Gaussian prior is placed on the…
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
Youngsoo Baek, Samuel I. Berchuck, Sayan Mukherjee
In this paper we compare and contrast the behavior of the posterior predictive distribution to the risk of the maximum a posteriori estimator for the random features regression mod…
Generalized Bayes Approach to Inverse Problems with Model Misspecification
Youngsoo Baek, Wilkins Aquino, Sayan Mukherjee
We propose a general framework for obtaining probabilistic solutions to PDE-based inverse problems. Bayesian methods are attractive for uncertainty quantification but assume knowle…