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. 2004.01869
  4. Cited By
Learning with Semi-Definite Programming: new statistical bounds based on
  fixed point analysis and excess risk curvature

Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature

4 April 2020
Stéphane Chrétien
Ning Zhang
Guillaume Lecué
Lucie Neirac
ArXiv (abs)PDFHTML

Papers citing "Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature"

2 / 2 papers shown
Title
Semidefinite programming on population clustering: a global analysis
Semidefinite programming on population clustering: a global analysis
Shuheng Zhou
81
1
0
01 Jan 2023
Positive semi-definite embedding for dimensionality reduction and
  out-of-sample extensions
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions
Michaël Fanuel
Antoine Aspeel
Jean-Charles Delvenne
Johan A. K. Suykens
28
5
0
20 Nov 2017
1