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Toward Better Generalization Bounds with Locally Elastic Stability
v1v2 (latest)

Toward Better Generalization Bounds with Locally Elastic Stability

27 October 2020
Zhun Deng
Hangfeng He
Weijie J. Su
ArXiv (abs)PDFHTML

Papers citing "Toward Better Generalization Bounds with Locally Elastic Stability"

31 / 31 papers shown
Title
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
Liang Wu
Ruixi Hu
Yunwen Lei
77
0
0
03 Mar 2025
Stability and Generalization of Quantum Neural Networks
Stability and Generalization of Quantum Neural Networks
Jiaqi Yang
Wei Xie
Xiaohua Xu
93
1
0
22 Jan 2025
Stability and Sharper Risk Bounds with Convergence Rate $O(1/n^2)$
Stability and Sharper Risk Bounds with Convergence Rate O(1/n2)O(1/n^2)O(1/n2)
Bowei Zhu
Shaojie Li
Yong Liu
43
0
0
13 Oct 2024
Position: Understanding LLMs Requires More Than Statistical
  Generalization
Position: Understanding LLMs Requires More Than Statistical Generalization
Patrik Reizinger
Szilvia Ujváry
Anna Mészáros
A. Kerekes
Wieland Brendel
Ferenc Huszár
136
16
0
03 May 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
85
0
0
31 Mar 2024
Convex SGD: Generalization Without Early Stopping
Convex SGD: Generalization Without Early Stopping
Julien Hendrickx
A. Olshevsky
MLTLRM
65
1
0
08 Jan 2024
Class-wise Generalization Error: an Information-Theoretic Analysis
Class-wise Generalization Error: an Information-Theoretic Analysis
Firas Laakom
Yuheng Bu
Moncef Gabbouj
76
1
0
05 Jan 2024
Stability and Generalization for Minibatch SGD and Local SGD
Stability and Generalization for Minibatch SGD and Local SGD
Yunwen Lei
Tao Sun
Mingrui Liu
93
4
0
02 Oct 2023
How Does Information Bottleneck Help Deep Learning?
How Does Information Bottleneck Help Deep Learning?
Kenji Kawaguchi
Zhun Deng
Xu Ji
Jiaoyang Huang
93
62
0
30 May 2023
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural
  Networks
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
Yuzhen Mao
Zhun Deng
Huaxiu Yao
Ting Ye
Kenji Kawaguchi
James Zou
82
21
0
08 Apr 2023
Stability-based Generalization Analysis for Mixtures of Pointwise and
  Pairwise Learning
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning
Jiahuan Wang
Jun Chen
Hao Chen
Bin Gu
Weifu Li
Xinwei Tang
MLT
63
2
0
20 Feb 2023
On the Stability and Generalization of Triplet Learning
On the Stability and Generalization of Triplet Learning
Jun Chen
Hao Chen
Xue Jiang
Bin Gu
Weifu Li
Tieliang Gong
Feng Zheng
54
4
0
20 Feb 2023
Resampling Sensitivity of High-Dimensional PCA
Resampling Sensitivity of High-Dimensional PCA
Haoyu Wang
58
0
0
30 Dec 2022
Reinforcement Learning with Stepwise Fairness Constraints
Reinforcement Learning with Stepwise Fairness Constraints
Zhun Deng
He Sun
Zhiwei Steven Wu
Linjun Zhang
David C. Parkes
FaMLOffRL
83
11
0
08 Nov 2022
Stability and Generalization Analysis of Gradient Methods for Shallow
  Neural Networks
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei
Rong Jin
Yiming Ying
MLT
100
19
0
19 Sep 2022
Robustness Implies Generalization via Data-Dependent Generalization
  Bounds
Robustness Implies Generalization via Data-Dependent Generalization Bounds
Kenji Kawaguchi
Zhun Deng
K. Luh
Jiaoyang Huang
OOD
113
23
0
27 Jun 2022
Stability and Generalization of Stochastic Optimization with Nonconvex
  and Nonsmooth Problems
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems
Yunwen Lei
46
19
0
14 Jun 2022
Stability and Generalization of Differentially Private Minimax Problems
Stability and Generalization of Differentially Private Minimax Problems
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
134
3
0
11 Apr 2022
On the Generalization Mystery in Deep Learning
On the Generalization Mystery in Deep Learning
S. Chatterjee
Piotr Zielinski
OOD
77
35
0
18 Mar 2022
Black-Box Generalization: Stability of Zeroth-Order Learning
Black-Box Generalization: Stability of Zeroth-Order Learning
Konstantinos E. Nikolakakis
Farzin Haddadpour
Dionysios S. Kalogerias
Amin Karbasi
MLT
75
2
0
14 Feb 2022
Black-box tests for algorithmic stability
Black-box tests for algorithmic stability
Byol Kim
Rina Foygel Barber
AAML
59
15
0
30 Nov 2021
Dynamics of Local Elasticity During Training of Neural Nets
Dynamics of Local Elasticity During Training of Neural Nets
Soham Dan
Anirbit Mukherjee
Avirup Das
Phanideep Gampa
52
0
0
01 Nov 2021
Imitating Deep Learning Dynamics via Locally Elastic Stochastic
  Differential Equations
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang
Hua Wang
Weijie J. Su
96
8
0
11 Oct 2021
An Unconstrained Layer-Peeled Perspective on Neural Collapse
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
209
87
0
06 Oct 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical
  Viewpoints
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Shaojie Li
Yong Liu
105
13
0
19 Jul 2021
Disparity Between Batches as a Signal for Early Stopping
Disparity Between Batches as a Signal for Early Stopping
Mahsa Forouzesh
Patrick Thiran
96
8
0
14 Jul 2021
Practical Assessment of Generalization Performance Robustness for Deep
  Networks via Contrastive Examples
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples
Xuanyu Wu
Xuhong Li
Haoyi Xiong
Xiao Zhang
Siyu Huang
Dejing Dou
30
1
0
20 Jun 2021
Stability and Generalization of Stochastic Gradient Methods for Minimax
  Problems
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei
Zhenhuan Yang
Tianbao Yang
Yiming Ying
80
48
0
08 May 2021
Towards Sharper Utility Bounds for Differentially Private Pairwise
  Learning
Towards Sharper Utility Bounds for Differentially Private Pairwise Learning
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
FedML
62
2
0
07 May 2021
Characterization of Excess Risk for Locally Strongly Convex Population
  Risk
Characterization of Excess Risk for Locally Strongly Convex Population Risk
Mingyang Yi
Ruoyu Wang
Zhi-Ming Ma
44
2
0
04 Dec 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via
  Influence Estimation
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman
Chiyuan Zhang
TDI
248
472
0
09 Aug 2020
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