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Estimators of Entropy and Information via Inference in Probabilistic Models

24 February 2022

Feras A. Saad

Marco F. Cusumano-Towner

Vikash K. Mansinghka

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Papers citing "Estimators of Entropy and Information via Inference in Probabilistic Models"

20 / 20 papers shown

Title
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 99 2,364 0 06 Jun 2019
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation Ziv Goldfeld Kristjan Greenewald Yury Polyanskiy Jonathan Niles-Weed 73 68 0 30 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 111 814 0 16 May 2019
Variational Bayesian Optimal Experimental Design Adam Foster M. Jankowiak Eli Bingham Paul Horsfall Yee Whye Teh Tom Rainforth Noah D. Goodman 92 139 0 13 Mar 2019
GILBO: One Metric to Measure Them All Alexander A. Alemi Ian S. Fischer DRL 62 17 0 13 Feb 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 196 1,285 0 12 Jan 2018
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 116 132 0 18 Sep 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 240 210 0 25 May 2017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms Marco F. Cusumano-Towner Vikash K. Mansinghka 81 18 0 19 May 2017
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes Feras A. Saad Leonardo Casarsa Vikash K. Mansinghka 142 5 0 04 Apr 2017
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 93 223 0 14 Nov 2016
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes Feras A. Saad Vikash K. Mansinghka 40 14 0 05 Nov 2016
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 197 143 0 31 Oct 2016
Deep Amortized Inference for Probabilistic Programs Daniel E. Ritchie Paul Horsfall Noah D. Goodman TPM 106 82 0 18 Oct 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo Roger C. Grosse Siddharth Ancha Daniel M. Roy 97 27 0 07 Jun 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 165 110 0 22 Feb 2016
Sandwiching the marginal likelihood using bidirectional Monte Carlo Roger C. Grosse Zoubin Ghahramani Ryan P. Adams 72 62 0 08 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 280 1,246 0 01 Sep 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
The pseudo-marginal approach for efficient Monte Carlo computations Christophe Andrieu Gareth O. Roberts 189 895 0 31 Mar 2009