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Variational Inference with Hamiltonian Monte Carlo

Variational Inference with Hamiltonian Monte Carlo

26 September 2016
Christopher Wolf
Maximilian Karl
Patrick van der Smagt
    BDL
ArXivPDFHTML

Papers citing "Variational Inference with Hamiltonian Monte Carlo"

13 / 13 papers shown
Title
Reparameterized Variational Rejection Sampling
Reparameterized Variational Rejection Sampling
M. Jankowiak
Du Phan
DRL
BDL
24
1
0
26 Sep 2023
Optimization of Annealed Importance Sampling Hyperparameters
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour
Fernando Perez-Cruz
37
1
0
27 Sep 2022
MixFlows: principled variational inference via mixed flows
MixFlows: principled variational inference via mixed flows
Zuheng Xu
Na Chen
Trevor Campbell
57
8
0
16 May 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina
Max Welling
Jakub M. Tomczak
AAML
DRL
31
12
0
18 Mar 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
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
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Tomas Geffner
Justin Domke
33
34
0
08 Jul 2021
Nested Variational Inference
Nested Variational Inference
Heiko Zimmermann
Hao Wu
Babak Esmaeili
Jan-Willem van de Meent
BDL
32
20
0
21 Jun 2021
Quasi-symplectic Langevin Variational Autoencoder
Quasi-symplectic Langevin Variational Autoencoder
Zihao Wang
H. Delingette
BDL
DRL
13
4
0
02 Sep 2020
All in the Exponential Family: Bregman Duality in Thermodynamic
  Variational Inference
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
Rob Brekelmans
Vaden Masrani
Frank Wood
Greg Ver Steeg
Aram Galstyan
22
16
0
01 Jul 2020
Learning Symmetries of Classical Integrable Systems
Learning Symmetries of Classical Integrable Systems
Roberto Bondesan
A. Lamacraft
22
39
0
11 Jun 2019
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
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