1 code implementation • 18 May 2023 • Jorge Loría, Anindya Bhadra
From the classical and influential works of Neal (1996), it is known that the infinite width scaling limit of a Bayesian neural network with one hidden layer is a Gaussian process, \emph{when the network weights have bounded prior variance}.
no code implementations • 25 Jun 2022 • Carlos Fernández-Loría, Jorge Loría
We present three valuable causal interpretations of these scores: effect estimation (EE), effect ordering (EO), and effect classification (EC).