Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models

15 June 2014

Papers citing "Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models"

9 / 9 papers shown

Title
Log-density gradient covariance and automatic metric tensors for Riemann manifold Monte Carlo methods T. S. Kleppe 76 3 0 03 Nov 2022
Several Remarks on the Numerical Integrator in Lagrangian Monte Carlo James A. Brofos Roy R. Lederman 38 0 0 28 Feb 2022
On Numerical Considerations for Riemannian Manifold Hamiltonian Monte Carlo James A. Brofos Roy R. Lederman 54 8 0 19 Nov 2021
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting Adam D. Cobb Brian Jalaian BDL 86 76 0 14 Oct 2020
Bayesian neural networks and dimensionality reduction Deborshee Sen Theodore Papamarkou David B. Dunson BDL 61 5 0 18 Aug 2020
Importance Sampling-based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models Kjartan Kloster Osmundsen T. S. Kleppe R. Liesenfeld 50 3 0 19 Dec 2018
Dynamically rescaled Hamiltonian Monte Carlo for Bayesian Hierarchical Models T. S. Kleppe 74 11 0 06 Jun 2018
Modified Hamiltonian Monte Carlo for Bayesian inference Tijana Radivojević E. Akhmatskaya 119 31 0 13 Jun 2017
Magnetic Hamiltonian Monte Carlo Nilesh Tripuraneni Mark Rowland Zoubin Ghahramani Richard Turner 58 37 0 10 Jul 2016