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Ensemble-Based Annealed Importance Sampling

Ensemble-Based Annealed Importance Sampling

28 January 2024
Haoxuan Chen
Lexing Ying
ArXivPDFHTML

Papers citing "Ensemble-Based Annealed Importance Sampling"

19 / 19 papers shown
Title
New affine invariant ensemble samplers and their dimensional scaling
New affine invariant ensemble samplers and their dimensional scaling
Yifan Chen
81
0
0
05 May 2025
Sampling in Unit Time with Kernel Fisher-Rao Flow
Sampling in Unit Time with Kernel Fisher-Rao Flow
A. Maurais
Youssef Marzouk
42
17
0
08 Jan 2024
Multimodal Sampling via Approximate Symmetries
Multimodal Sampling via Approximate Symmetries
Lexing Ying
37
2
0
11 Oct 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality
Efficient Training of Energy-Based Models Using Jarzynski Equality
D. Carbone
Mengjian Hua
Simon Coste
Eric Vanden-Eijnden
35
7
0
30 May 2023
Accelerate Langevin Sampling with Birth-Death Process and Exploration Component
Accelerate Langevin Sampling with Birth-Death Process and Exploration Component
Lezhi Tan
Jianfeng Lu
46
4
0
06 May 2023
Generative Modeling via Hierarchical Tensor Sketching
Generative Modeling via Hierarchical Tensor Sketching
Yifan Peng
Yian Chen
E. Stoudenmire
Y. Khoo
39
15
0
11 Apr 2023
Flow Annealed Importance Sampling Bootstrap
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley
Vincent Stimper
G. Simm
Bernhard Schölkopf
José Miguel Hernández-Lobato
80
90
0
03 Aug 2022
Annealed Leap-Point Sampler for Multimodal Target Distributions
Annealed Leap-Point Sampler for Multimodal Target Distributions
Nicholas G. Tawn
M. Moores
Gareth O. Roberts
45
6
0
24 Dec 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient
  Noise
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
Guodong Zhang
Kyle Hsu
Jianing Li
Chelsea Finn
Roger C. Grosse
59
40
0
21 Jul 2021
Ensemble Markov chain Monte Carlo with teleporting walkers
Ensemble Markov chain Monte Carlo with teleporting walkers
M. Lindsey
Jonathan Weare
Anna Zhang
38
17
0
04 Jun 2021
Spatial Monte Carlo Integration with Annealed Importance Sampling
Spatial Monte Carlo Integration with Annealed Importance Sampling
Muneki Yasuda
Kaiji Sekimoto
32
2
0
21 Dec 2020
Complexity of zigzag sampling algorithm for strongly log-concave
  distributions
Complexity of zigzag sampling algorithm for strongly log-concave distributions
Jianfeng Lu
Lihan Wang
33
6
0
21 Dec 2020
Stein Variational Gradient Descent as Gradient Flow
Stein Variational Gradient Descent as Gradient Flow
Qiang Liu
OT
67
275
0
25 Apr 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference
  Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
65
1,091
0
16 Aug 2016
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
67
233
0
11 Jul 2016
On the Geometric Ergodicity of Hamiltonian Monte Carlo
On the Geometric Ergodicity of Hamiltonian Monte Carlo
Samuel Livingstone
M. Betancourt
Simon Byrne
Mark Girolami
85
116
0
29 Jan 2016
Non-asymptotic convergence analysis for the Unadjusted Langevin
  Algorithm
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
64
412
0
17 Jul 2015
Theoretical guarantees for approximate sampling from smooth and
  log-concave densities
Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan
66
514
0
23 Dec 2014
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
288
3,276
0
09 Jun 2012
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