Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1511.02543
Cited By
Sandwiching the marginal likelihood using bidirectional Monte Carlo
8 November 2015
Roger C. Grosse
Zoubin Ghahramani
Ryan P. Adams
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Sandwiching the marginal likelihood using bidirectional Monte Carlo"
32 / 32 papers shown
Title
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour
Fernando Perez-Cruz
58
1
0
27 Sep 2022
Bounding Evidence and Estimating Log-Likelihood in VAE
Lukasz Struski
Marcin Mazur
Pawel Batorski
Przemysław Spurek
Jacek Tabor
98
3
0
19 Jun 2022
Guaranteed Bounds for Posterior Inference in Universal Probabilistic Programming
Raven Beutner
Luke Ong
Fabian Zaiser
69
12
0
06 Apr 2022
Estimators of Entropy and Information via Inference in Probabilistic Models
Feras A. Saad
Marco F. Cusumano-Towner
Vikash K. Mansinghka
61
4
0
24 Feb 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
149
58
0
23 Feb 2022
BAM: Bayes with Adaptive Memory
Josue Nassar
Jennifer Brennan
Ben Evans
Kendall Lowrey
CLL
KELM
53
1
0
04 Feb 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling
M. Jankowiak
Du Phan
BDL
85
13
0
22 Dec 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
Guodong Zhang
Kyle Hsu
Jianing Li
Chelsea Finn
Roger C. Grosse
87
40
0
21 Jul 2021
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Tomas Geffner
Justin Domke
95
36
0
08 Jul 2021
q-Paths: Generalizing the Geometric Annealing Path using Power Means
Vaden Masrani
Rob Brekelmans
T. Bui
Frank Nielsen
Aram Galstyan
Greg Ver Steeg
Frank Wood
264
16
0
01 Jul 2021
Monte Carlo Variational Auto-Encoders
Achille Thin
Nikita Kotelevskii
Arnaud Doucet
Alain Durmus
Eric Moulines
Maxim Panov
BDL
DRL
70
45
0
30 Jun 2021
An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations
Justin Domke
22
9
0
25 Feb 2021
Annealed Importance Sampling with q-Paths
Rob Brekelmans
Vaden Masrani
T. Bui
Frank Wood
Aram Galstyan
Greg Ver Steeg
Frank Nielsen
59
10
0
14 Dec 2020
Evaluating Lossy Compression Rates of Deep Generative Models
Sicong Huang
Alireza Makhzani
Yanshuai Cao
Roger C. Grosse
EGVM
DRL
91
27
0
15 Aug 2020
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
196
49
0
27 Feb 2020
Normalizing Constant Estimation with Gaussianized Bridge Sampling
He Jia
U. Seljak
71
9
0
12 Dec 2019
Importance Weighted Hierarchical Variational Inference
Artem Sobolev
Dmitry Vetrov
BDL
74
29
0
08 May 2019
Elements of Sequential Monte Carlo
C. A. Naesseth
Fredrik Lindsten
Thomas B. Schon
75
97
0
12 Mar 2019
Asymptotic Consistency of
α
−
α-
α
−
Rényi-Approximate Posteriors
Prateek Jaiswal
Vinayak A. Rao
Harsha Honnappa
85
12
0
05 Feb 2019
Gaussian Process Behaviour in Wide Deep Neural Networks
A. G. Matthews
Mark Rowland
Jiri Hron
Richard Turner
Zoubin Ghahramani
BDL
195
561
0
30 Apr 2018
Inference Suboptimality in Variational Autoencoders
Chris Cremer
Xuechen Li
David Duvenaud
DRL
BDL
137
283
0
10 Jan 2018
Filtering Variational Objectives
Chris J. Maddison
Dieterich Lawson
George Tucker
N. Heess
Mohammad Norouzi
A. Mnih
Arnaud Doucet
Yee Whye Teh
FedML
260
210
0
25 May 2017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
Marco F. Cusumano-Towner
Vikash K. Mansinghka
102
18
0
19 May 2017
Continuously tempered Hamiltonian Monte Carlo
Matthew M. Graham
Amos J. Storkey
74
26
0
11 Apr 2017
Approximate Inference with Amortised MCMC
Yingzhen Li
Richard Turner
Qiang Liu
BDL
96
62
0
27 Feb 2017
Adversarial Message Passing For Graphical Models
Theofanis Karaletsos
GAN
85
29
0
15 Dec 2016
Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming
Marco F. Cusumano-Towner
Vikash K. Mansinghka
45
3
0
07 Dec 2016
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu
Yuri Burda
Ruslan Salakhutdinov
Roger C. Grosse
GAN
129
223
0
14 Nov 2016
Variational Inference via
χ
χ
χ
-Upper Bound Minimization
Adji Bousso Dieng
Dustin Tran
Rajesh Ranganath
John Paisley
David M. Blei
BDL
144
35
0
01 Nov 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Roger C. Grosse
Siddharth Ancha
Daniel M. Roy
123
27
0
07 Jun 2016
Partition Functions from Rao-Blackwellized Tempered Sampling
David Carlson
Patrick Stinson
Ari Pakman
Liam Paninski
120
13
0
07 Mar 2016
Patterns of Scalable Bayesian Inference
E. Angelino
Matthew J. Johnson
Ryan P. Adams
107
87
0
16 Feb 2016
1