Scaling Exact Inference for Discrete Probabilistic Programs
The cost of inference is the primary barrier for wider application of probabilistic programming languages. How can we scale inference to truly huge programs?
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The State of SIGPLAN
by Jens Palsberg on Jun 27, 2019 | Tags: awards, news, service
SIGPLAN organizes conferences, funds travel for students, and gives awards in the area of programming languages.
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ACM SIGPLAN
The ACM Special Interest Group on Programming Languages (SIGPLAN) explores programming language concepts and tools, focusing on design, implementation, practice, and theory. Its members are programming language developers, educators, implementers, researchers, theoreticians, and users.
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