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Quantifying the effectiveness of linear preconditioning in Markov chain
  Monte Carlo

Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo

8 December 2023
Max Hird
Samuel Livingstone
ArXivPDFHTML

Papers citing "Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo"

7 / 7 papers shown
Title
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
Son Luu
Zuheng Xu
Nikola Surjanovic
Miguel Biron-Lattes
Trevor Campbell
Alexandre Bouchard-Coté
25
0
0
04 Oct 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
C. Margossian
Loucas Pillaud-Vivien
Lawrence K. Saul
UD
71
2
0
20 Mar 2024
Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
Philip Schär
Michael Habeck
Daniel Rudolf
16
1
0
29 Jan 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm
Miguel Biron-Lattes
Nikola Surjanovic
Saifuddin Syed
Trevor Campbell
Alexandre Bouchard-Coté
18
10
0
25 Oct 2023
Warped geometric information on the optimisation of Euclidean functions
Warped geometric information on the optimisation of Euclidean functions
M. Hartmann
Bernardo Williams
Hanlin Yu
Mark Girolami
Alessandro Barp
Arto Klami
24
2
0
16 Aug 2023
Stereographic Markov Chain Monte Carlo
Stereographic Markov Chain Monte Carlo
Jun Yang
K. Latuszyñski
Gareth O. Roberts
33
13
0
24 May 2022
Variable transformation to obtain geometric ergodicity in the
  random-walk Metropolis algorithm
Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm
Leif Johnson
C. Geyer
71
51
0
27 Feb 2013
1