NIPS Proceedings
^{β}
Books
Jeffrey Pennington
5 Papers
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
(2019)
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network
(2018)
Nonlinear random matrix theory for deep learning
(2017)
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
(2017)
Spherical Random Features for Polynomial Kernels
(2015)