ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.02543
  4. Cited By
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"

11 / 11 papers shown
Title
Optimization of Annealed Importance Sampling Hyperparameters
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour
F. Pérez-Cruz
21
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
11
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
14
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
16
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
18
13
0
22 Dec 2021
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
100
49
0
27 Feb 2020
Inference Suboptimality in Variational Autoencoders
Inference Suboptimality in Variational Autoencoders
Chris Cremer
Xuechen Li
D. Duvenaud
DRL
BDL
13
281
0
10 Jan 2018
Adversarial Message Passing For Graphical Models
Adversarial Message Passing For Graphical Models
Theofanis Karaletsos
GAN
19
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
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
1