A Variational Approach to Learning Curves

Malzahn, Dörthe, Opper, Manfred

Neural Information Processing Systems 

We combine the replica approach from statistical physics with a variational approachto analyze learning curves analytically. We apply the method to Gaussian process regression. As a main result we derive approximative relationsbetween empirical error measures, the generalization error and the posterior variance.

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