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When does Metropolized Hamiltonian Monte Carlo provably outperform
  Metropolis-adjusted Langevin algorithm?

When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?

10 April 2023
Yuansi Chen
Khashayar Gatmiry
ArXivPDFHTML

Papers citing "When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?"

13 / 13 papers shown
Title
Operator-Level Quantum Acceleration of Non-Logconcave Sampling
Operator-Level Quantum Acceleration of Non-Logconcave Sampling
Jiaqi Leng
Zhiyan Ding
Zherui Chen
Lin Lin
54
0
0
08 May 2025
Numerical Generalized Randomized Hamiltonian Monte Carlo for piecewise smooth target densities
Numerical Generalized Randomized Hamiltonian Monte Carlo for piecewise smooth target densities
Jimmy Huy Tran
T. S. Kleppe
BDL
43
0
0
25 Apr 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Daniel Paulin
P. Whalley
Neil K. Chada
B. Leimkuhler
BDL
41
4
0
14 Oct 2024
Mixing of the No-U-Turn Sampler and the Geometry of Gaussian
  Concentration
Mixing of the No-U-Turn Sampler and the Geometry of Gaussian Concentration
Nawaf Bou-Rabee
Stefan Oberdörster
23
1
0
09 Oct 2024
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
20
0
0
04 Oct 2024
Entropy contraction of the Gibbs sampler under log-concavity
Entropy contraction of the Gibbs sampler under log-concavity
Filippo Ascolani
Hugo Lavenant
Giacomo Zanella
26
5
0
01 Oct 2024
Rényi-infinity constrained sampling with $d^3$ membership queries
Rényi-infinity constrained sampling with d3d^3d3 membership queries
Yunbum Kook
Matthew Shunshi Zhang
19
0
0
17 Jul 2024
On Convergence of the Alternating Directions SGHMC Algorithm
On Convergence of the Alternating Directions SGHMC Algorithm
Soumyadip Ghosh
Ying-Ling Lu
T. Nowicki
19
0
0
21 May 2024
Correction to "Wasserstein distance estimates for the distributions of
  numerical approximations to ergodic stochastic differential equations"
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations"
Daniel Paulin
P. Whalley
8
2
0
13 Feb 2024
Contraction and Convergence Rates for Discretized Kinetic Langevin
  Dynamics
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
B. Leimkuhler
Daniel Paulin
P. Whalley
30
16
0
21 Feb 2023
Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with
  Linear Convergence Rates
Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates
Jingwei Zhang
Xunpeng Huang
Jincheng Yu
MLT
13
1
0
19 May 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for
  Log-Concave Sampling
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling
Keru Wu
S. Schmidler
Yuansi Chen
36
50
0
27 Sep 2021
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
170
3,260
0
09 Jun 2012
1