Information-theoretic analysis of generalization capability of learning algorithms

Aolin Xu, Maxim Raginsky

Neural Information Processing Systems 

A learning algorithm can be viewed as a randomized mapping, or a channel in the information-theoretic language, which takes a training dataset as input and generates a hypothesis as output.

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