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Measuring the reliability of MCMC inference with bidirectional Monte
  Carlo

Measuring the reliability of MCMC inference with bidirectional Monte Carlo

7 June 2016
Roger C. Grosse
Siddharth Ancha
Daniel M. Roy
ArXivPDFHTML

Papers citing "Measuring the reliability of MCMC inference with bidirectional Monte Carlo"

6 / 6 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
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
Active Safety Envelopes using Light Curtains with Probabilistic
  Guarantees
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
Siddharth Ancha Gaurav Pathak
Gaurav Pathak
S. Narasimhan
David Held
20
5
0
08 Jul 2021
PAC$^m$-Bayes: Narrowing the Empirical Risk Gap in the Misspecified
  Bayesian Regime
PACm^mm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
Warren Morningstar
Alexander A. Alemi
Joshua V. Dillon
74
16
0
19 Oct 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
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
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