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Sandwiching the marginal likelihood using bidirectional Monte Carlo

Sandwiching the marginal likelihood using bidirectional Monte Carlo

8 November 2015
Roger C. Grosse
Zoubin Ghahramani
Ryan P. Adams
ArXivPDFHTML

Papers citing "Sandwiching the marginal likelihood using bidirectional Monte Carlo"

15 / 15 papers shown
Title
Optimization of Annealed Importance Sampling Hyperparameters
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour
Fernando Perez-Cruz
27
1
0
27 Sep 2022
Bounding Evidence and Estimating Log-Likelihood in VAE
Bounding Evidence and Estimating Log-Likelihood in VAE
Lukasz Struski
Marcin Mazur
Pawel Batorski
P. Spurek
Jacek Tabor
18
3
0
19 Jun 2022
Guaranteed Bounds for Posterior Inference in Universal Probabilistic
  Programming
Guaranteed Bounds for Posterior Inference in Universal Probabilistic Programming
Raven Beutner
Luke Ong
Fabian Zaiser
19
11
0
06 Apr 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
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
52
56
0
23 Feb 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
20
34
0
08 Jul 2021
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
106
49
0
27 Feb 2020
Inference Suboptimality in Variational Autoencoders
Inference Suboptimality in Variational Autoencoders
Chris Cremer
Xuechen Li
David Duvenaud
DRL
BDL
27
280
0
10 Jan 2018
Filtering Variational Objectives
Filtering Variational Objectives
Chris J. Maddison
Dieterich Lawson
George Tucker
N. Heess
Mohammad Norouzi
A. Mnih
Arnaud Doucet
Yee Whye Teh
FedML
22
210
0
25 May 2017
Adversarial Message Passing For Graphical Models
Adversarial Message Passing For Graphical Models
Theofanis Karaletsos
GAN
21
29
0
15 Dec 2016
On the Quantitative Analysis of Decoder-Based Generative Models
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu
Yuri Burda
Ruslan Salakhutdinov
Roger C. Grosse
GAN
22
223
0
14 Nov 2016
Variational Inference via $χ$-Upper Bound Minimization
Variational Inference via χχχ-Upper Bound Minimization
Adji Bousso Dieng
Dustin Tran
Rajesh Ranganath
John Paisley
David M. Blei
BDL
81
36
0
01 Nov 2016
Measuring the reliability of MCMC inference with bidirectional Monte
  Carlo
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Roger C. Grosse
Siddharth Ancha
Daniel M. Roy
12
26
0
07 Jun 2016
Partition Functions from Rao-Blackwellized Tempered Sampling
Partition Functions from Rao-Blackwellized Tempered Sampling
David Carlson
Patrick Stinson
Ari Pakman
Liam Paninski
28
13
0
07 Mar 2016
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