Simple, Distributed, and Accelerated Probabilistic Programming
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), pp. 7598-7609, 2018.
EI
Keywords:
random variableprobabilistic programminglinear speedup
Abstract:
We describe a simple, low-level approach for embedding probabilistic programming in a deep learning ecosystem. In particular, we distill probabilistic programming down to a single abstraction-the random variable. Our lightweight implementation in TensorFlow enables numerous applications: a model-parallel variational auto-encoder (vAE) wit...More
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