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The EM algorithm, Deep Learning and the Softmax Layer

Graduate Student Colloquium

The EM algorithm, Deep Learning and the Softmax Layer
Series: Graduate Student Colloquium
Location: ENR2 S395
Presenter: Ryan Coatney

The EM Algorithm as described by Dempster et. al.  provides excellent approaches to very difficult inference problems. Recent approaches in deep learning, such as variational autoencoders, give a gradient-based approach to similar problems.  
While the above are unsupervised algorithms, it is the case that the softmax layer commonly used in supervised classification shares many features with the EM algorithm.  We will discuss the connections between these algorithms. 

(Refreshments will be served.)