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Unregularized Online Learning Algorithms with General Loss Functions
v1v2 (latest)

Unregularized Online Learning Algorithms with General Loss Functions

2 March 2015
Yiming Ying
Ding-Xuan Zhou
ArXiv (abs)PDFHTML

Papers citing "Unregularized Online Learning Algorithms with General Loss Functions"

17 / 17 papers shown
Title
Differentially Private Stochastic Gradient Descent with Low-Noise
Differentially Private Stochastic Gradient Descent with Low-Noise
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
FedML
114
5
0
09 Sep 2022
Stability and Generalization for Randomized Coordinate Descent
Stability and Generalization for Randomized Coordinate Descent
Puyu Wang
Liang Wu
Yunwen Lei
72
7
0
17 Aug 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical
  Viewpoints
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Shaojie Li
Yong Liu
183
13
0
19 Jul 2021
Three rates of convergence or separation via U-statistics in a dependent
  framework
Three rates of convergence or separation via U-statistics in a dependent framework
Quentin Duchemin
Yohann De Castro
C. Lacour
86
0
0
24 Jun 2021
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
132
136
0
15 Jun 2020
Depth Selection for Deep ReLU Nets in Feature Extraction and
  Generalization
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
Zhi Han
Siquan Yu
Shao-Bo Lin
Ding-Xuan Zhou
OOD
88
41
0
01 Apr 2020
Fast Polynomial Kernel Classification for Massive Data
Fast Polynomial Kernel Classification for Massive Data
Jinshan Zeng
Minrun Wu
Shao-Bo Lin
Ding-Xuan Zhou
TPM
155
6
0
24 Nov 2019
Dual Averaging Method for Online Graph-structured Sparsity
Dual Averaging Method for Online Graph-structured Sparsity
Baojian Zhou
F. Chen
Yiming Ying
67
8
0
26 May 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity
  Optimization
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou
F. Chen
Yiming Ying
110
7
0
09 May 2019
Deep Neural Networks for Rotation-Invariance Approximation and Learning
Deep Neural Networks for Rotation-Invariance Approximation and Learning
C. Chui
Shao-Bo Lin
Ding-Xuan Zhou
182
36
0
03 Apr 2019
Stochastic Gradient Descent for Nonconvex Learning without Bounded
  Gradient Assumptions
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions
Yunwen Lei
Ting Hu
Guiying Li
Shengcai Liu
MLT
170
120
0
03 Feb 2019
Analysis of regularized Nyström subsampling for regression functions
  of low smoothness
Analysis of regularized Nyström subsampling for regression functions of low smoothness
Shuai Lu
Peter Mathé
S. Pereverzyev
98
18
0
03 Jun 2018
Convergence of Online Mirror Descent
Convergence of Online Mirror Descent
Yunwen Lei
Ding-Xuan Zhou
102
23
0
18 Feb 2018
Fast and Strong Convergence of Online Learning Algorithms
Fast and Strong Convergence of Online Learning Algorithms
Zheng-Chu Guo
Lei Shi
77
14
0
10 Oct 2017
Convergence of Unregularized Online Learning Algorithms
Convergence of Unregularized Online Learning Algorithms
Yunwen Lei
Lei Shi
Zheng-Chu Guo
100
15
0
09 Aug 2017
On the Robustness of Regularized Pairwise Learning Methods Based on
  Kernels
On the Robustness of Regularized Pairwise Learning Methods Based on Kernels
A. Christmann
Ding-Xuan Zhou
63
30
0
12 Oct 2015
Local Rademacher Complexity Bounds based on Covering Numbers
Local Rademacher Complexity Bounds based on Covering Numbers
Yunwen Lei
L. Ding
Yingzhou Bi
100
22
0
06 Oct 2015
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