Theoretical Machine Learning

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1 domain-specific abstractions whose origin domain is Theoretical Machine Learning.

• Large width limits of neural networks — Asymptotic regimes in which neural-network layer widths tend to infinity and random networks converge to analytically tractable Gaussian-process, kernel, mean-field, or feature-learning descriptions.