223 citations · 368 across the 9 of their papers we have counts for
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stat.ML2017★ 17 cited
Implicit Causal Models for Genome-wide Association Studies
Dustin Tran, David M. Blei
Progress in probabilistic generative models has accelerated, developing richer models with neural architectures, implicit densities, and with scalable algorithms for their Bayesian…
stat.ML2017★ 84 cited
Deep Probabilistic Programming
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous +3
We propose Edward, a Turing-complete probabilistic programming language. Edward defines two compositional representations---random variables and inference. By treating inference as…