[Crib-list] Probabilistic Programming in Julia | 3pm - 4pm | Friday, June 21, 2019 | Room 32-D463 (Star Conference Room)
Shirley Entzminger
daisymae at math.mit.edu
Fri Jun 21 11:05:04 EDT 2019
T O D A Y . . .
Probabilistic Programming in Julia
SPEAKER: Kai Xu , University of Edinburgh (PhD Student)
HOST: Alan Edelman
TIME: 3pm-4pm
DATE: Friday June 21, 2019
LOCATION: Room 32-D463 (Star Conference Room)
(32 Vassar Street, Stata Bldg.)
Turing.jl: The Turing language for probabilistic programming
ABSTRACT:
Turing.jl is a Julia library for (universal) probabilistic programming.
Turing allows the user to write models in standard Julia syntax, and
provide a wide range of sampling-based inference methods for solving
problems across probabilistic machine learning, Bayesian statistics and
data science etc. Since Turing is implemented in pure Julia code, its
compiler and inference methods are amendable for hacking: new model
families and inference methods can be easily added.
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Massachusetts Institute of Technology
Cambridge, MA
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Shirley A. Entzminger
Administrative Assistant II
Department of Mathematics
Massachusetts Institute of Technology
77 Massachusetts Avenue
Building 2, Room 350A
Cambridge, MA 02139
PHONE: (617) 253-4347
FAX: (617) 253-4358
E-mail: daisymae at math.mit.edu
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