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. 1812.09859
  4. Cited By
Generalization Bounds for Uniformly Stable Algorithms
v1v2 (latest)

Generalization Bounds for Uniformly Stable Algorithms

24 December 2018
Vitaly Feldman
J. Vondrák
ArXiv (abs)PDFHTML

Papers citing "Generalization Bounds for Uniformly Stable Algorithms"

33 / 33 papers shown
Title
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization
Zixuan Gong
Xiaolin Hu
Huayi Tang
Yong Liu
144
0
0
24 Feb 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
Convex SGD: Generalization Without Early Stopping
Convex SGD: Generalization Without Early Stopping
Julien Hendrickx
A. Olshevsky
MLTLRM
65
1
0
08 Jan 2024
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Xiaoge Deng
Li Shen
Shengwei Li
Tao Sun
Dongsheng Li
Dacheng Tao
85
3
0
18 Aug 2023
Toward Understanding Generative Data Augmentation
Toward Understanding Generative Data Augmentation
Chenyu Zheng
Guoqiang Wu
Chongxuan Li
96
31
0
27 May 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
Sharper Analysis for Minibatch Stochastic Proximal Point Methods:
  Stability, Smoothness, and Deviation
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation
Xiao-Tong Yuan
P. Li
89
2
0
09 Jan 2023
Limitations of Information-Theoretic Generalization Bounds for Gradient
  Descent Methods in Stochastic Convex Optimization
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
Mahdi Haghifam
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
Daniel M. Roy
Gintare Karolina Dziugaite
89
19
0
27 Dec 2022
Generalisation under gradient descent via deterministic PAC-Bayes
Generalisation under gradient descent via deterministic PAC-Bayes
Eugenio Clerico
Tyler Farghly
George Deligiannidis
Benjamin Guedj
Arnaud Doucet
152
4
0
06 Sep 2022
Uniform Stability for First-Order Empirical Risk Minimization
Uniform Stability for First-Order Empirical Risk Minimization
Amit Attia
Tomer Koren
66
5
0
17 Jul 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds,
  Non-smoothness and Beyond
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiao-Tong Yuan
P. Li
FedML
77
62
0
10 Jun 2022
Differentially Private Shapley Values for Data Evaluation
Differentially Private Shapley Values for Data Evaluation
Lauren Watson
R. Andreeva
Hao Yang
Rik Sarkar
TDIFAttFedML
69
6
0
01 Jun 2022
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for
  Full-Batch GD
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
Konstantinos E. Nikolakakis
Farzin Haddadpour
Amin Karbasi
Dionysios S. Kalogerias
140
19
0
26 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
181
188
0
28 Mar 2022
Stability Based Generalization Bounds for Exponential Family Langevin
  Dynamics
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
A. Banerjee
Tiancong Chen
Xinyan Li
Yingxue Zhou
86
8
0
09 Jan 2022
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
Global Convergence of Three-layer Neural Networks in the Mean Field
  Regime
Global Convergence of Three-layer Neural Networks in the Mean Field Regime
H. Pham
Phan-Minh Nguyen
MLTAI4CE
91
19
0
11 May 2021
Stability and Deviation Optimal Risk Bounds with Convergence Rate
  $O(1/n)$
Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)O(1/n)O(1/n)
Yegor Klochkov
Nikita Zhivotovskiy
81
62
0
22 Mar 2021
Toward Better Generalization Bounds with Locally Elastic Stability
Toward Better Generalization Bounds with Locally Elastic Stability
Zhun Deng
Hangfeng He
Weijie J. Su
60
44
0
27 Oct 2020
Train simultaneously, generalize better: Stability of gradient-based
  minimax learners
Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia
Asuman Ozdaglar
73
48
0
23 Oct 2020
Fine-Grained Analysis of Stability and Generalization for Stochastic
  Gradient Descent
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei
Yiming Ying
MLT
99
129
0
15 Jun 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
66
198
0
12 Jun 2020
A Rigorous Framework for the Mean Field Limit of Multilayer Neural
  Networks
A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks
Phan-Minh Nguyen
H. Pham
AI4CE
111
83
0
30 Jan 2020
Reasoning About Generalization via Conditional Mutual Information
Reasoning About Generalization via Conditional Mutual Information
Thomas Steinke
Lydia Zakynthinou
163
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
A New Analysis of Differential Privacy's Generalization Guarantees
A New Analysis of Differential Privacy's Generalization Guarantees
Christopher Jung
Katrina Ligett
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
Moshe Shenfeld
FedML
96
47
0
09 Sep 2019
Hypothesis Set Stability and Generalization
Hypothesis Set Stability and Generalization
Dylan J. Foster
Spencer Greenberg
Satyen Kale
Haipeng Luo
M. Mohri
Karthik Sridharan
87
35
0
09 Apr 2019
An Exponential Efron-Stein Inequality for Lq Stable Learning Rules
An Exponential Efron-Stein Inequality for Lq Stable Learning Rules
Karim Abou-Moustafa
Csaba Szepesvári
65
11
0
12 Mar 2019
High probability generalization bounds for uniformly stable algorithms
  with nearly optimal rate
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate
Vitaly Feldman
J. Vondrák
74
155
0
27 Feb 2019
Stable and Fair Classification
Stable and Fair Classification
Lingxiao Huang
Nisheeth K. Vishnoi
FaML
156
72
0
21 Feb 2019
Uniform convergence may be unable to explain generalization in deep
  learning
Uniform convergence may be unable to explain generalization in deep learning
Vaishnavh Nagarajan
J. Zico Kolter
MoMeAI4CE
98
317
0
13 Feb 2019
On the cross-validation bias due to unsupervised pre-processing
On the cross-validation bias due to unsupervised pre-processing
Amit Moscovich
Saharon Rosset
SSL
32
18
0
25 Jan 2019
Generalization in anti-causal learning
Generalization in anti-causal learning
Niki Kilbertus
Giambattista Parascandolo
Bernhard Schölkopf
OODCML
85
53
0
03 Dec 2018
1