Algorithm-Dependent Generalization Bounds for Overparameterized Deep
Residual Networks

Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks

7 October 2019

Quanquan Gu

Papers citing "Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks"

10 / 10 papers shown

Title
Improve Generalization Ability of Deep Wide Residual Network with A Suitable Scaling Factor Songtao Tian Zixiong Yu 32 1 0 07 Mar 2024
Asymptotic Analysis of Deep Residual Networks R. Cont Alain Rossier Renyuan Xu 27 4 0 15 Dec 2022
On the generalization of learning algorithms that do not converge N. Chandramoorthy Andreas Loukas Khashayar Gatmiry Stefanie Jegelka MLT 19 11 0 16 Aug 2022
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 51 16 0 05 Dec 2021
On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime Zhiyan Ding Shi Chen Qin Li S. Wright MLT AI4CE 48 11 0 06 Oct 2021
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent Spencer Frei Quanquan Gu 26 26 0 25 Jun 2021
Scaling Properties of Deep Residual Networks A. Cohen R. Cont Alain Rossier Renyuan Xu 27 18 0 25 May 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise Spencer Frei Yuan Cao Quanquan Gu FedML MLT 70 19 0 04 Jan 2021
Towards Understanding the Spectral Bias of Deep Learning Yuan Cao Zhiying Fang Yue Wu Ding-Xuan Zhou Quanquan Gu 41 215 0 03 Dec 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 28 596 0 01 Jan 2019