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. 2305.07638
  4. Cited By
On the Partial Convexification for Low-Rank Spectral Optimization: Rank
  Bounds and Algorithms
v1v2 (latest)

On the Partial Convexification for Low-Rank Spectral Optimization: Rank Bounds and Algorithms

12 May 2023
Yongchun Li
Weijun Xie
ArXiv (abs)PDFHTML

Papers citing "On the Partial Convexification for Low-Rank Spectral Optimization: Rank Bounds and Algorithms"

2 / 2 papers shown
Title
Improved Approximation Algorithms for Low-Rank Problems Using Semidefinite Optimization
Improved Approximation Algorithms for Low-Rank Problems Using Semidefinite Optimization
Ryan Cory-Wright
J. Pauphilet
50
0
0
06 Jan 2025
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Jie Wang
M. Boedihardjo
Yao Xie
124
1
0
24 May 2024
1