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Quadratic Optimization with Orthogonality Constraints: Explicit
  Lojasiewicz Exponent and Linear Convergence of Line-Search Methods

Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods

5 October 2015
Huikang Liu
Weijie Wu
Anthony Man-Cho So
ArXivPDFHTML

Papers citing "Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods"

3 / 3 papers shown
Title
Sharper Utility Bounds for Differentially Private Models
Sharper Utility Bounds for Differentially Private Models
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
FedML
37
3
0
22 Apr 2022
Improved Learning Rates for Stochastic Optimization: Two Theoretical
  Viewpoints
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Shaojie Li
Yong Liu
26
13
0
19 Jul 2021
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its
  applications to linear convergence of first-order methods
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods
Guoyin Li
Ting Kei Pong
105
292
0
09 Feb 2016
1