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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"

21 / 21 papers shown
Optimality of Robust Online Learning
Optimality of Robust Online LearningFoundations of Computational Mathematics (FoCM), 2023
Zheng-Chu Guo
A. Christmann
Lei Shi
231
14
0
20 Apr 2023
Differentially Private Stochastic Gradient Descent with Low-Noise
Differentially Private Stochastic Gradient Descent with Low-NoiseNeurocomputing (Neurocomputing), 2022
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
FedML
325
6
0
09 Sep 2022
Sharper Utility Bounds for Differentially Private Models
Sharper Utility Bounds for Differentially Private ModelsInternational Conference on Information and Knowledge Management (CIKM), 2022
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
FedML
272
3
0
22 Apr 2022
Stability and Generalization for Randomized Coordinate Descent
Stability and Generalization for Randomized Coordinate Descent
Puyu Wang
Liang Wu
Yunwen Lei
272
7
0
17 Aug 2021
Improved Learning Rates for Stochastic Optimization
Improved Learning Rates for Stochastic Optimization
Shaojie Li
Yong Liu
Yong Liu
394
14
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
230
1
0
24 Jun 2021
Differentially Private SGD with Non-Smooth Losses
Differentially Private SGD with Non-Smooth LossesApplied and Computational Harmonic Analysis (ACHA), 2021
Puyu Wang
Yunwen Lei
Yiming Ying
Hai Zhang
460
35
0
22 Jan 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
318
160
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 GeneralizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Zhi Han
Siquan Yu
Shao-Bo Lin
Ding-Xuan Zhou
OOD
227
47
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
512
8
0
24 Nov 2019
Dual Averaging Method for Online Graph-structured Sparsity
Dual Averaging Method for Online Graph-structured SparsityKnowledge Discovery and Data Mining (KDD), 2019
Baojian Zhou
F. Chen
Yiming Ying
256
8
0
26 May 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity
  Optimization
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity OptimizationInternational Conference on Machine Learning (ICML), 2019
Baojian Zhou
F. Chen
Yiming Ying
219
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
290
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
472
136
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
317
23
0
03 Jun 2018
Convergence of Online Mirror Descent
Convergence of Online Mirror Descent
Yunwen Lei
Ding-Xuan Zhou
177
24
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
222
15
0
10 Oct 2017
Convergence of Unregularized Online Learning Algorithms
Convergence of Unregularized Online Learning AlgorithmsJournal of machine learning research (JMLR), 2017
Yunwen Lei
Lei Shi
Zheng-Chu Guo
201
17
0
09 Aug 2017
A short note on extension theorems and their connection to universal
  consistency in machine learning
A short note on extension theorems and their connection to universal consistency in machine learning
A. Christmann
Florian Dumpert
Daohong Xiang
231
2
0
15 Apr 2016
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
223
31
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
202
23
0
06 Oct 2015
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