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. 2310.16782
  4. Cited By
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm
v1v2v3 (latest)

autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm

25 October 2023
Miguel Biron-Lattes
Nikola Surjanovic
Saifuddin Syed
Trevor Campbell
Alexandre Bouchard-Côté
ArXiv (abs)PDFHTML

Papers citing "autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm"

9 / 9 papers shown
Title
Score-Based Metropolis-Hastings Algorithms
Score-Based Metropolis-Hastings Algorithms
Ahmed Aloui
Ali Hasan
Juncheng Dong
Zihao Wu
Vahid Tarokh
DiffM
102
0
0
31 Dec 2024
AutoStep: Locally adaptive involutive MCMC
AutoStep: Locally adaptive involutive MCMC
Tiange Liu
Nikola Surjanovic
Miguel Biron-Lattes
Alexandre Bouchard-Côté
Trevor Campbell
64
1
0
24 Oct 2024
Amortized Bayesian Multilevel Models
Amortized Bayesian Multilevel Models
Daniel Habermann
Marvin Schmitt
Lars Kühmichel
Andreas Bulling
Stefan T. Radev
Paul-Christian Bürkner
230
4
0
23 Aug 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
59
5
0
08 Dec 2023
On the convergence of dynamic implementations of Hamiltonian Monte Carlo
  and No U-Turn Samplers
On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers
Alain Durmus
Samuel Gruffaz
Miika Kailas
E. Saksman
M. Vihola
51
5
0
07 Jul 2023
Parallel Tempering With a Variational Reference
Parallel Tempering With a Variational Reference
Nikola Surjanovic
Saifuddin Syed
Alexandre Bouchard-Côté
Trevor Campbell
55
13
0
31 May 2022
Efficient and Generalizable Tuning Strategies for Stochastic Gradient
  MCMC
Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC
Jeremie Coullon
Leah F. South
Christopher Nemeth
61
12
0
27 May 2021
Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC
  Scheme
Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC Scheme
Saifuddin Syed
Alexandre Bouchard-Côté
George Deligiannidis
Arnaud Doucet
72
73
0
08 May 2019
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
169
4,309
0
18 Nov 2011
1