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54:21
Microsoft
Some recent developments in approximate inference: learning and control
I’ll discuss two pieces of work on inference in probabilistic models: The first concerns a very general class of Bayesian Linear Models that are widely used in statistics and machine learning. A great deal of research has been carried out on developing approximate inference techniques for this important class. In particular I’ll discuss ...
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