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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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Related topics
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5 relations
Broader (3)
Computational learning theory
Machine learning
Theoretical computer science
Concept class
Probably approximately correct learning
Papers overview
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2018
2018
A New Lower Bound for Agnostic Learning with Sample Compression Schemes
Steve Hanneke
,
A. Kontorovich
arXiv.org
2018
Corpus ID: 29161462
We establish a tight characterization of the worst-case rates for the excess risk of agnostic learning with sample compression…
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2018
2018
L G ] 2 1 M ay 2 01 8 A New Lower Bound for Agnostic Learning with Sample Compression Schemes
Steve Hanneke
2018
Corpus ID: 260496920
Compression-based arguments provide some of the simplest and tightest generalization bounds in the literature. These are known as…
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