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MCMC Variational Inference via Uncorrected Hamiltonian Annealing

MCMC Variational Inference via Uncorrected Hamiltonian Annealing

8 July 2021
Tomas Geffner
Justin Domke
ArXivPDFHTML

Papers citing "MCMC Variational Inference via Uncorrected Hamiltonian Annealing"

17 / 17 papers shown
Title
Bayesian Computation in Deep Learning
Bayesian Computation in Deep Learning
Wenlong Chen
Bolian Li
Ruqi Zhang
Yingzhen Li
BDL
75
0
0
25 Feb 2025
Learned Reference-based Diffusion Sampling for multi-modal distributions
Learned Reference-based Diffusion Sampling for multi-modal distributions
Maxence Noble
Louis Grenioux
Marylou Gabrié
Alain Durmus
DiffM
31
2
0
25 Oct 2024
Liouville Flow Importance Sampler
Liouville Flow Importance Sampler
Yifeng Tian
Nishant Panda
Yen Ting Lin
36
8
0
03 May 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Tara Akhound-Sadegh
Jarrid Rector-Brooks
A. Bose
Sarthak Mittal
Pablo Lemos
...
Siamak Ravanbakhsh
Gauthier Gidel
Yoshua Bengio
Nikolay Malkin
Alexander Tong
DiffM
40
41
0
09 Feb 2024
Reparameterized Variational Rejection Sampling
Reparameterized Variational Rejection Sampling
M. Jankowiak
Du Phan
DRL
BDL
24
1
0
26 Sep 2023
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo
  Samplers
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers
Johannes Zenn
Robert Bamler
32
3
0
27 Apr 2023
Optimization of Annealed Importance Sampling Hyperparameters
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour
Fernando Perez-Cruz
27
1
0
27 Sep 2022
Score-Based Diffusion meets Annealed Importance Sampling
Score-Based Diffusion meets Annealed Importance Sampling
Arnaud Doucet
Will Grathwohl
A. G. Matthews
Heiko Strathmann
DiffM
41
43
0
16 Aug 2022
Flow Annealed Importance Sampling Bootstrap
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley
Vincent Stimper
G. Simm
Bernhard Schölkopf
José Miguel Hernández-Lobato
32
77
0
03 Aug 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference
  with Markovian Gradients
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Kyurae Kim
Jisu Oh
Jacob R. Gardner
Adji Bousso Dieng
Hongseok Kim
BDL
29
8
0
13 Jun 2022
MixFlows: principled variational inference via mixed flows
MixFlows: principled variational inference via mixed flows
Zuheng Xu
Na Chen
Trevor Campbell
55
8
0
16 May 2022
Bayesian inference via sparse Hamiltonian flows
Bayesian inference via sparse Hamiltonian flows
Na Chen
Zuheng Xu
Trevor Campbell
35
14
0
11 Mar 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical
  Models
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner
Justin Domke
29
5
0
08 Mar 2022
Continual Repeated Annealed Flow Transport Monte Carlo
Continual Repeated Annealed Flow Transport Monte Carlo
A. G. Matthews
Michael Arbel
Danilo Jimenez Rezende
Arnaud Doucet
OT
37
46
0
31 Jan 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling
Surrogate Likelihoods for Variational Annealed Importance Sampling
M. Jankowiak
Du Phan
BDL
35
13
0
22 Dec 2021
Generalized Normalizing Flows via Markov Chains
Generalized Normalizing Flows via Markov Chains
Paul Hagemann
J. Hertrich
Gabriele Steidl
BDL
DiffM
AI4CE
30
22
0
24 Nov 2021
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
1