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. 1504.06305
  4. Cited By
Regularization-free estimation in trace regression with symmetric
  positive semidefinite matrices

Regularization-free estimation in trace regression with symmetric positive semidefinite matrices

23 April 2015
M. Slawski
Ping Li
Matthias Hein
ArXivPDFHTML

Papers citing "Regularization-free estimation in trace regression with symmetric positive semidefinite matrices"

3 / 3 papers shown
Title
Small random initialization is akin to spectral learning: Optimization
  and generalization guarantees for overparameterized low-rank matrix
  reconstruction
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
Dominik Stöger
Mahdi Soltanolkotabi
ODL
42
75
0
28 Jun 2021
On Riemannian Optimization over Positive Definite Matrices with the
  Bures-Wasserstein Geometry
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Junbin Gao
11
38
0
01 Jun 2021
Mapping individual differences in cortical architecture using multi-view
  representation learning
Mapping individual differences in cortical architecture using multi-view representation learning
A. Sellami
Franccois-Xavier Dupé
Bastien Cagna
Hachem Kadri
Stéphane Ayache
Thierry Artières
S. Takerkart
24
10
0
01 Apr 2020
1