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. 0803.3490
  4. Cited By
Robustness and Regularization of Support Vector Machines

Robustness and Regularization of Support Vector Machines

25 March 2008
Huan Xu
Constantine Caramanis
Shie Mannor
ArXivPDFHTML

Papers citing "Robustness and Regularization of Support Vector Machines"

5 / 5 papers shown
Title
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Tianyi Lin
Chi Jin
Michael I. Jordan
77
8
0
28 Jan 2025
Alternating minimization for square root principal component pursuit
Alternating minimization for square root principal component pursuit
Shengxiang Deng
Xudong Li
Yangjing Zhang
113
0
0
31 Dec 2024
Almost-everywhere algorithmic stability and generalization error
Almost-everywhere algorithmic stability and generalization error
S. Kutin
P. Niyogi
45
173
0
12 Dec 2012
Robust Regression and Lasso
Robust Regression and Lasso
Huan Xu
Constantine Caramanis
Shie Mannor
OOD
47
302
0
11 Nov 2008
Consistency and robustness of kernel-based regression in convex risk
  minimization
Consistency and robustness of kernel-based regression in convex risk minimization
A. Christmann
Ingo Steinwart
136
119
0
05 Sep 2007
1