Stable Foundations for Learning: a foundational framework for learning theory in both the classical and modern regime.
We consider here the class of supervised learning algorithms known as Empirical Risk Minimization (ERM). The classical theory by Vapnik and others characterize universal consistency of ERM in the classical regime in which the architecture of the learning network is fixed and n, the number of trainin...
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| Format: | Technical Report |
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Center for Brains, Minds and Machines (CBMM)
2020
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| Online Access: | https://hdl.handle.net/1721.1/124343 |