Sandwiching the marginal likelihood using bidirectional Monte Carlo

8 November 2015

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 63 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 266 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 61 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 79 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 $α-$ 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 $χ$ -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