Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection

7 February 2020

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

5 / 5 papers shown

Title
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks Sehwan Kim F. Liang FedML 57 0 0 04 May 2025
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models Xinyu Zhang Cheng Li 28 0 0 18 Dec 2022
Reversible Jump PDMP Samplers for Variable Selection Augustin Chevallier Paul Fearnhead Matthew Sutton 21 18 0 22 Oct 2020
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 58 231 0 11 Jul 2016