Machine Learning in between Discrete and Continuous Settings

Jun.-Prof. Dr. Zorah Lähner, Colloquium, DataNinja Saionara Conference, Bielefeld, Germany:

When solving discrete problems with deep learning, making the problem differentiable is one of the core challenges. This talk will look at different problems sets with complex discrete aspects, for example permutation, and how a change in representation can make these problems feasible for optimisation with gradient descent.

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