Dario Trevisan

Quantitative Gaussian-Process limits of Tensor Programs

Andrea Agazzi, Eloy Mosig García, Dario Trevisan

We study the infinite-width Gaussian-process limit of random neural networks through the lens of tensor programs, and we provide a quantitative convergence theory in Wasserstein distance. Our main result gives explicit finite-width error bounds, of order inverse square-root of th…Read more