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. 1711.07177
  4. Cited By
Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via
  iterated random functions
v1v2 (latest)

Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via iterated random functions

20 November 2017
A. Sepehri
J. Marković
ArXiv (abs)PDFHTML

Papers citing "Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via iterated random functions"

3 / 3 papers shown
Title
Learning Rate Free Sampling in Constrained Domains
Learning Rate Free Sampling in Constrained Domains
Louis Sharrock
Lester W. Mackey
Christopher Nemeth
78
2
0
24 May 2023
Sampling with Mirrored Stein Operators
Sampling with Mirrored Stein Operators
Jiaxin Shi
Chang-rui Liu
Lester W. Mackey
137
19
0
23 Jun 2021
Bouncy Hybrid Sampler as a Unifying Device
Bouncy Hybrid Sampler as a Unifying Device
J. Marković
A. Sepehri
40
2
0
12 Feb 2018
1