AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC

29 February 2020

Papers citing "AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC"

7 / 7 papers shown

Title
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 48 2 0 16 May 2025
A Langevin sampling algorithm inspired by the Adam optimizer B. Leimkuhler René Lohmann P. Whalley 79 0 0 26 Apr 2025
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls Stephan Thaler Gregor Doehner Julija Zavadlav 40 21 0 15 Dec 2022
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 30 374 0 29 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 40 159 0 21 Oct 2016
MCMC using Hamiltonian dynamics Radford M. Neal 192 3,268 0 09 Jun 2012