618 citations · 861 across the 14 of their papers we have counts for
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cs.LG2015★ 8 cited
Learning Deep Generative Models with Doubly Stochastic MCMC
Chao Du, Jun Zhu, Bo Zhang
We present doubly stochastic gradient MCMC, a simple and generic method for (approximate) Bayesian inference of deep generative models (DGMs) in a collapsed continuous parameter sp…
cs.LG2015★ 23 cited
Max-margin Deep Generative Models
Chongxuan Li, Jun Zhu, Tianlin Shi +1
Deep generative models (DGMs) are effective on learning multilayered representations of complex data and performing inference of input data by exploring the generative ability. How…