ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.12112
  4. Cited By
Stereographic Markov Chain Monte Carlo

Stereographic Markov Chain Monte Carlo

24 May 2022
Jun Yang
K. Latuszyñski
Gareth O. Roberts
ArXivPDFHTML

Papers citing "Stereographic Markov Chain Monte Carlo"

12 / 12 papers shown
Title
Adaptive Stereographic MCMC
Adaptive Stereographic MCMC
Cameron Bell
Krzystof Łatuszyński
Gareth O. Roberts
30
1
0
21 Aug 2024
Piecewise deterministic generative models
Piecewise deterministic generative models
Andrea Bertazzi
Alain Durmus
Dario Shariatian
Umut Simsekli
Éric Moulines
DiffM
27
0
0
28 Jul 2024
Flexible Tails for Normalizing Flows
Flexible Tails for Normalizing Flows
Tennessee Hickling
Dennis Prangle
33
0
0
22 Jun 2024
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for
  Proximal Samplers
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
Ye He
Alireza Mousavi-Hosseini
Krishnakumar Balasubramanian
Murat A. Erdogdu
28
0
0
27 May 2024
Quantifying the effectiveness of linear preconditioning in Markov chain
  Monte Carlo
Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo
Max Hird
Samuel Livingstone
35
5
0
08 Dec 2023
Monte Carlo on manifolds in high dimensions
Monte Carlo on manifolds in high dimensions
Kerun Xu
Miranda C. Holmes-Cerfon
16
2
0
21 Aug 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré
  Inequality
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
Alireza Mousavi-Hosseini
Tyler Farghly
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
45
25
0
07 Mar 2023
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed
  Sampling
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
Ye He
Tyler Farghly
Krishnakumar Balasubramanian
Murat A. Erdogdu
47
4
0
01 Mar 2023
Geodesic slice sampling on the sphere
Geodesic slice sampling on the sphere
Michael Habeck
Mareike Hasenpflug
Shantanu Kodgirwar
Daniel Rudolf
24
10
0
19 Jan 2023
Dimension-independent Markov chain Monte Carlo on the sphere
Dimension-independent Markov chain Monte Carlo on the sphere
H. Lie
Daniel Rudolf
Björn Sprungk
T. Sullivan
32
6
0
22 Dec 2021
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
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
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
52
0
27 Feb 2013
1