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On the Robustness of Regularized Pairwise Learning Methods Based on
  Kernels

On the Robustness of Regularized Pairwise Learning Methods Based on Kernels

12 October 2015
A. Christmann
Ding-Xuan Zhou
ArXiv (abs)PDFHTML

Papers citing "On the Robustness of Regularized Pairwise Learning Methods Based on Kernels"

8 / 8 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
Bootstrap SGD: Algorithmic Stability and Robustness
Bootstrap SGD: Algorithmic Stability and Robustness
Andreas Christmann
Yunwen Lei
55
0
0
02 Sep 2024
Dimension Free Generalization Bounds for Non Linear Metric Learning
Dimension Free Generalization Bounds for Non Linear Metric Learning
Mark Kozdoba
Shie Mannor
18
0
0
07 Feb 2021
Total Stability of SVMs and Localized SVMs
Total Stability of SVMs and Localized SVMs
H. Köhler
A. Christmann
53
4
0
29 Jan 2021
On the robustness of kernel-based pairwise learning
On the robustness of kernel-based pairwise learning
Patrick Gensler
A. Christmann
OOD
11
3
0
29 Oct 2020
Stability and Optimization Error of Stochastic Gradient Descent for
  Pairwise Learning
Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
Wei Shen
Zhenhuan Yang
Yiming Ying
Xiaoming Yuan
44
17
0
25 Apr 2019
Total stability of kernel methods
Total stability of kernel methods
A. Christmann
Daohong Xiang
Ding-Xuan Zhou
18
16
0
22 Sep 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
16
2
0
15 Apr 2016
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