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Developing a general-purpose message-passing library

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Infer.NET is a project underway at Microsoft Research to create a general-purpose software library for inference in graphical models. The project is heavily inspired by BUGS and VIBES . However, the main focus of this library is efficient execution of deterministic message-passing algorithms on large-scale models. I will describe some of the research challenges we face and how we are addressing them.

This talk is part of the Machine Learning and Inference (One day meeting) series.

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