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. 2303.09261
  4. Cited By
Orthogonal Directions Constrained Gradient Method: from non-linear
  equality constraints to Stiefel manifold

Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold

16 March 2023
S. Schechtman
D. Tiapkin
Michael Muehlebach
Eric Moulines
ArXivPDFHTML

Papers citing "Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold"

5 / 5 papers shown
Title
Optimization without Retraction on the Random Generalized Stiefel
  Manifold
Optimization without Retraction on the Random Generalized Stiefel Manifold
Simon Vary
Pierre Ablin
Bin Gao
P.-A. Absil
17
1
0
02 May 2024
Primal Methods for Variational Inequality Problems with Functional Constraints
Primal Methods for Variational Inequality Problems with Functional Constraints
Liang Zhang
Niao He
Michael Muehlebach
32
2
0
19 Mar 2024
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms
  for Optimization under Orthogonality Constraints
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
Pierre Ablin
Simon Vary
Bin Gao
P.-A. Absil
33
7
0
29 Mar 2023
Accelerated First-Order Optimization under Nonlinear Constraints
Accelerated First-Order Optimization under Nonlinear Constraints
Michael Muehlebach
Michael I. Jordan
37
3
0
01 Feb 2023
Fast and accurate optimization on the orthogonal manifold without
  retraction
Fast and accurate optimization on the orthogonal manifold without retraction
Pierre Ablin
Gabriel Peyré
49
26
0
15 Feb 2021
1