[Pl-seminar] 11/21: Ryan Culpepper, Introduction to Probabilistic Programming

[Vincent St-Amour]

Reminder: Ryan is speaking tomorrow.


At Thu, 13 Nov 2014 14:58:44 -0500,
Vincent St-Amour wrote:
> 
> NUPRL Seminar presents
> 
> Ryan Culpepper
> NUPRL
> 
> 3:00 - 4:30 (non-standard time)
> Friday, 11/21
> Room 366 WVH (http://www.ccs.neu.edu/home/wand/directions.html)
> 
> 
> Introduction to Probabilistic Programming
> 
> Abstract:
> Probabilistic programming languages allow programmers to build
> generative probabilistic models using standard programming idioms
> plus two features: sampling and conditioning. A wide variety of
> machine learning problems can be formulated as inference problems
> for probabilistic models conditioned on observed data.
> 
> In this talk I will give an introduction to many of the relevant
> concepts in probabilistic machine learning. These will include common
> structures of probabilistic models, the connection between generative
> models and probabilistic programs, and sampling-based inference
> techniques. I will use a sketch of a semantics for a core
> probabilistic language to discuss some open problems.
> 
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