ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.03299
  4. Cited By
Generalization Error Bounds for Deep Neural Networks Trained by SGD
v1v2 (latest)

Generalization Error Bounds for Deep Neural Networks Trained by SGD

7 June 2022
Mingze Wang
Chao Ma
ArXiv (abs)PDFHTML

Papers citing "Generalization Error Bounds for Deep Neural Networks Trained by SGD"

31 / 31 papers shown
Title
Gradient Descent on Neural Networks Typically Occurs at the Edge of
  Stability
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy M. Cohen
Simran Kaur
Yuanzhi Li
J. Zico Kolter
Ameet Talwalkar
ODL
95
277
0
26 Feb 2021
Complexity Measures for Neural Networks with General Activation
  Functions Using Path-based Norms
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms
Zhong Li
Chao Ma
Lei Wu
50
24
0
14 Sep 2020
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Raef Bassily
Vitaly Feldman
Cristóbal Guzmán
Kunal Talwar
MLT
54
198
0
12 Jun 2020
Sharpened Generalization Bounds based on Conditional Mutual Information
  and an Application to Noisy, Iterative Algorithms
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Mahdi Haghifam
Jeffrey Negrea
Ashish Khisti
Daniel M. Roy
Gintare Karolina Dziugaite
168
107
0
27 Apr 2020
Reasoning About Generalization via Conditional Mutual Information
Reasoning About Generalization via Conditional Mutual Information
Thomas Steinke
Lydia Zakynthinou
150
166
0
24 Jan 2020
Sharper bounds for uniformly stable algorithms
Sharper bounds for uniformly stable algorithms
Olivier Bousquet
Yegor Klochkov
Nikita Zhivotovskiy
64
122
0
17 Oct 2019
Generalization Bounds for Convolutional Neural Networks
Generalization Bounds for Convolutional Neural Networks
Shan Lin
Jingwei Zhang
MLT
56
35
0
03 Oct 2019
A Priori Estimates of the Population Risk for Residual Networks
A Priori Estimates of the Population Risk for Residual Networks
E. Weinan
Chao Ma
Qingcan Wang
UQCV
71
61
0
06 Mar 2019
Fine-Grained Analysis of Optimization and Generalization for
  Overparameterized Two-Layer Neural Networks
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora
S. Du
Wei Hu
Zhiyuan Li
Ruosong Wang
MLT
208
974
0
24 Jan 2019
Tightening Mutual Information Based Bounds on Generalization Error
Tightening Mutual Information Based Bounds on Generalization Error
Yuheng Bu
Shaofeng Zou
Venugopal V. Veeravalli
58
177
0
15 Jan 2019
A Priori Estimates of the Population Risk for Two-layer Neural Networks
A Priori Estimates of the Population Risk for Two-layer Neural Networks
Weinan E
Chao Ma
Lei Wu
65
132
0
15 Oct 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Arthur Jacot
Franck Gabriel
Clément Hongler
273
3,219
0
20 Jun 2018
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets,
  and Beyond
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond
Xingguo Li
Junwei Lu
Zhaoran Wang
Jarvis Haupt
T. Zhao
55
80
0
13 Jun 2018
Chaining Mutual Information and Tightening Generalization Bounds
Chaining Mutual Information and Tightening Generalization Bounds
Amir-Reza Asadi
Emmanuel Abbe
S. Verdú
AI4CE
50
124
0
11 Jun 2018
Understanding Generalization and Optimization Performance of Deep CNNs
Understanding Generalization and Optimization Performance of Deep CNNs
Pan Zhou
Jiashi Feng
MLT
106
50
0
28 May 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks
A Mean Field View of the Landscape of Two-Layers Neural Networks
Song Mei
Andrea Montanari
Phan-Minh Nguyen
MLT
103
862
0
18 Apr 2018
Stronger generalization bounds for deep nets via a compression approach
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLTAI4CE
89
643
0
14 Feb 2018
Size-Independent Sample Complexity of Neural Networks
Size-Independent Sample Complexity of Neural Networks
Noah Golowich
Alexander Rakhlin
Ohad Shamir
154
551
0
18 Dec 2017
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
Tengyuan Liang
T. Poggio
Alexander Rakhlin
J. Stokes
76
226
0
05 Nov 2017
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical
  Viewpoints
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
Wenlong Mou
Liwei Wang
Xiyu Zhai
Kai Zheng
MLT
57
159
0
19 Jul 2017
Exploring Generalization in Deep Learning
Exploring Generalization in Deep Learning
Behnam Neyshabur
Srinadh Bhojanapalli
David A. McAllester
Nathan Srebro
FAtt
160
1,259
0
27 Jun 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
210
1,225
0
26 Jun 2017
Train longer, generalize better: closing the generalization gap in large
  batch training of neural networks
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer
Itay Hubara
Daniel Soudry
ODL
178
800
0
24 May 2017
Information-theoretic analysis of generalization capability of learning
  algorithms
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu
Maxim Raginsky
176
447
0
22 May 2017
Opening the Black Box of Deep Neural Networks via Information
Opening the Black Box of Deep Neural Networks via Information
Ravid Shwartz-Ziv
Naftali Tishby
AI4CE
111
1,416
0
02 Mar 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
Yuchen Zhang
Percy Liang
Moses Charikar
69
236
0
18 Feb 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a
  nonasymptotic analysis
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
75
521
0
13 Feb 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
348
4,635
0
10 Nov 2016
Train faster, generalize better: Stability of stochastic gradient
  descent
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt
Benjamin Recht
Y. Singer
116
1,243
0
03 Sep 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
338
18,651
0
06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
1