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Online Learning Guided Curvature Approximation: A Quasi-Newton Method
  with Global Non-Asymptotic Superlinear Convergence

Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence

16 February 2023
Ruichen Jiang
Qiujiang Jin
Aryan Mokhtari
ArXivPDFHTML

Papers citing "Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence"

5 / 5 papers shown
Title
Second-Order Min-Max Optimization with Lazy Hessians
Second-Order Min-Max Optimization with Lazy Hessians
Lesi Chen
Chengchang Liu
Jingzhao Zhang
46
1
0
12 Oct 2024
Online Convex Optimization with a Separation Oracle
Online Convex Optimization with a Separation Oracle
Zakaria Mhammedi
20
1
0
03 Oct 2024
Stochastic Newton Proximal Extragradient Method
Stochastic Newton Proximal Extragradient Method
Ruichen Jiang
Michal Dereziñski
Aryan Mokhtari
29
0
0
03 Jun 2024
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
Michal Dereziñski
Christopher Musco
Jiaming Yang
45
2
0
09 May 2024
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth
  Convex Optimization
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
Ruichen Jiang
Aryan Mokhtari
25
8
0
03 Jun 2023
1