471 citations · 1.1k across the 28 of their papers we have counts for
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cs.LG2016
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov +1
The past several years have seen remarkable progress in generative models which produce convincing samples of images and other modalities. A shared component of many powerful gener…
cs.LG2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Roger B. Grosse, Siddharth Ancha, Daniel M. Roy
Markov chain Monte Carlo (MCMC) is one of the main workhorses of probabilistic inference, but it is notoriously hard to measure the quality of approximate posterior samples. This c…