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FANTASTIC GENERALIZATION MEASURES ARE NOWHERE TO BE FOUND
Michael Gastpar
,
Ido Nachum
, Jonathan Shafer
, Thomas Weinberger
Department of Statistics
Research output
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Contribution to conference
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›
peer-review
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Computer Science
Neural Network
100%
Learning Algorithm
100%
Algorithm Performance
50%
Potential Explanation
50%
Population Loss
50%
Keyphrases
Generalization Bounds
100%
Tight
71%
Neural Network
28%
Learning Algorithm
28%
Training Set
14%
Population Distribution
14%
Algorithm Performance
14%
Stability Bound
14%
Good Accuracy
14%
Population Loss
14%
Margin Bound
14%
Generalization Type
14%
Mathematics
Neural Network
100%
Training Set
50%
Population Distribution
50%