Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization

Documenti analoghi

• K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
  di: Tankala, Pranay, et al.
  Pubblicazione: (2020)
• Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
  di: Luo, Yuetian, et al.
  Pubblicazione: (2022)
• Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
  di: Romanov, Elad, et al.
  Pubblicazione: (2024)
• ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations
  di: Gao, Yihang, et al.
  Pubblicazione: (2026)
• Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization
  di: Gao, Yihang, et al.
  Pubblicazione: (2025)