2 problems
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Local learnability conjecture for over-parameterized model classes
The paper considers pNML universal learning and the notion of learnability for model classes, with linear regression as the explicitly solved example. Local learnability conjecture…
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Data-derived convergence as local simplicity for rich model classes
A data-derived convergence property is a convergence notion in which the data determine when a model class is being approximated well, lying between uniform and pointwise convergen…