Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning

12 May 2015Ilya TolstikhinNikita ZhivotovskiyGilles Blanchard

Transductive learning considers situations when a learner observes $m$ labelled training points and $u$ unlabelled test points with the final goal of giving correct answers for the test points. This paper introduces a new complexity measure for transductive learning called Permutational Rademacher Complexity (PRC) and studies its properties... (read more)

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