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Differentiable and Probabilistic Programming

Probabilistic programming is a method for writing statistical models by writing programs.

The idea of differentiable programming is to consider programs for which the derivative can be found automatically. This has applications to machine learning and statistical inference. 



Past Members

Swaraj Dash
Mathieu Huot
Carol Mak
Luke Ong
Hugo Paquet
Tim Reichelt
Dominik Wagner