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Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection

Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection

Qifan Song
Y. Sun
Mao Ye
F. Liang
    BDL
ArXiv (abs)PDFHTML

Papers citing "Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection"

4 / 4 papers shown
Title
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
Frank Shih
Zhenghao Jiang
Faming Liang
60
0
0
25 May 2025
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
Sehwan Kim
F. Liang
FedML
93
0
0
04 May 2025
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models
Xinyu Zhang
Cheng Li
69
0
0
18 Dec 2022
Bayesian Robustness: A Nonasymptotic Viewpoint
Bayesian Robustness: A Nonasymptotic Viewpoint
Kush S. Bhatia
Yian Ma
Anca Dragan
Peter L. Bartlett
Michael I. Jordan
54
7
0
27 Jul 2019

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