490 citations · 1k across the 74 of their papers we have counts for
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cs.AI2014
Venture: a higher-order probabilistic programming platform with programmable inference
Vikash Mansinghka, Daniel Selsam, Yura Perov
We describe Venture, an interactive virtual machine for probabilistic programming that aims to be sufficiently expressive, extensible, and efficient for general-purpose use. Like C…
cs.AI2014★ 13 cited
Building fast Bayesian computing machines out of intentionally stochastic, digital parts
Vikash Mansinghka, Eric Jonas
The brain interprets ambiguous sensory information faster and more reliably than modern computers, using neurons that are slower and less reliable than logic gates. But Bayesian in…