$Generalization Ability of Wide Neural Networks on $\mathbb{R}$$

Generalization Ability of Wide Neural Networks on $\mathbb{R}$

12 February 2023

Rui Chen

Papers citing "Generalization Ability of Wide Neural Networks on $\mathbb{R}$"

17 / 17 papers shown

Title
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Yunwen Lei Rong Jin Yiming Ying MLT 93 19 0 19 Sep 2022
Limitations of the NTK for Understanding Generalization in Deep Learning Nikhil Vyas Yamini Bansal Preetum Nakkiran 86 34 0 20 Jun 2022
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation M. Belkin 51 187 0 29 May 2021
Non-asymptotic approximations of neural networks by Gaussian processes Ronen Eldan Dan Mikulincer T. Schramm 104 23 0 17 Feb 2021
Deep Equals Shallow for ReLU Networks in Kernel Regimes A. Bietti Francis R. Bach 63 90 0 30 Sep 2020
On the Similarity between the Laplace and Neural Tangent Kernels Amnon Geifman A. Yadav Yoni Kasten Meirav Galun David Jacobs Ronen Basri 115 94 0 03 Jul 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar Cengiz Pehlevan 220 206 0 07 Feb 2020
Towards Understanding the Spectral Bias of Deep Learning Yuan Cao Zhiying Fang Yue Wu Ding-Xuan Zhou Quanquan Gu 95 218 0 03 Dec 2019
On the Inductive Bias of Neural Tangent Kernels A. Bietti Julien Mairal 83 257 0 29 May 2019
Mean Field Analysis of Deep Neural Networks Justin A. Sirignano K. Spiliopoulos 60 82 0 11 Mar 2019
Gradient Descent Provably Optimizes Over-parameterized Neural Networks S. Du Xiyu Zhai Barnabás Póczós Aarti Singh MLT ODL 214 1,272 0 04 Oct 2018
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach Ryo Karakida S. Akaho S. Amari FedML 139 145 0 04 Jun 2018
To understand deep learning we need to understand kernel learning M. Belkin Siyuan Ma Soumik Mandal 60 419 0 05 Feb 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 220 810 0 22 Aug 2017
Recovery Guarantees for One-hidden-layer Neural Networks Kai Zhong Zhao Song Prateek Jain Peter L. Bartlett Inderjit S. Dhillon MLT 167 336 0 10 Jun 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 339 4,626 0 10 Nov 2016
Optimal Rates For Regularization Of Statistical Inverse Learning Problems Gilles Blanchard Nicole Mücke 449 143 0 14 Apr 2016