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Occam learning

In computational learning theory, Occam learning is a model of algorithmic learning where the objective of the learner is to output a succinct… 
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Papers overview

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2018
2018
We establish a tight characterization of the worst-case rates for the excess risk of agnostic learning with sample compression… 
2018
2018
Compression-based arguments provide some of the simplest and tightest generalization bounds in the literature. These are known as…