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De-randomizing MCMC dynamics with the diffusion Stein operator

De-randomizing MCMC dynamics with the diffusion Stein operator

7 October 2021
Zheyan Shen
Markus Heinonen
Samuel Kaski
    DiffM
ArXiv (abs)PDFHTML

Papers citing "De-randomizing MCMC dynamics with the diffusion Stein operator"

3 / 3 papers shown
Title
Energy based diffusion generator for efficient sampling of Boltzmann
  distributions
Energy based diffusion generator for efficient sampling of Boltzmann distributions
Yan Wang
Ling Guo
Hao Wu
Tao Zhou
DiffM
100
4
0
04 Jan 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational
  Inference Framework
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework
Fangyikang Wang
Huminhao Zhu
Chao Zhang
Han Zhao
Hui Qian
81
8
0
27 Dec 2023
Input-gradient space particle inference for neural network ensembles
Input-gradient space particle inference for neural network ensembles
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
UQCV
75
4
0
05 Jun 2023
1