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Cubic Regularization with Momentum for Nonconvex Optimization
v1v2 (latest)

Cubic Regularization with Momentum for Nonconvex Optimization

9 October 2018
Zhe Wang
Yi Zhou
Yingbin Liang
Guanghui Lan
ArXiv (abs)PDFHTML

Papers citing "Cubic Regularization with Momentum for Nonconvex Optimization"

12 / 12 papers shown
Title
Improving Stochastic Cubic Newton with Momentum
Improving Stochastic Cubic Newton with Momentum
El Mahdi Chayti
N. Doikov
Martin Jaggi
ODL
50
0
0
25 Oct 2024
Series of Hessian-Vector Products for Tractable Saddle-Free Newton
  Optimisation of Neural Networks
Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks
E. T. Oldewage
Ross M. Clarke
José Miguel Hernández-Lobato
ODL
47
1
0
23 Oct 2023
A Momentum Accelerated Adaptive Cubic Regularization Method for
  Nonconvex Optimization
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization
Yihang Gao
Michael K. Ng
38
2
0
12 Oct 2022
Approximate Secular Equations for the Cubic Regularization Subproblem
Approximate Secular Equations for the Cubic Regularization Subproblem
Yihang Gao
Man-Chung Yue
Michael K. Ng
18
1
0
27 Sep 2022
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm
  Regularization
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization
Quanming Yao
Yaqing Wang
Bo Han
James T. Kwok
71
2
0
06 May 2022
GT-STORM: Taming Sample, Communication, and Memory Complexities in
  Decentralized Non-Convex Learning
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
Xin Zhang
Jia Liu
Zhengyuan Zhu
Elizabeth S. Bentley
84
14
0
04 May 2021
Escaping Saddle Points in Distributed Newton's Method with Communication
  Efficiency and Byzantine Resilience
Escaping Saddle Points in Distributed Newton's Method with Communication Efficiency and Byzantine Resilience
Avishek Ghosh
R. Maity
A. Mazumdar
Kannan Ramchandran
FedML
54
5
0
17 Mar 2021
Recent Theoretical Advances in Non-Convex Optimization
Recent Theoretical Advances in Non-Convex Optimization
Marina Danilova
Pavel Dvurechensky
Alexander Gasnikov
Eduard A. Gorbunov
Sergey Guminov
Dmitry Kamzolov
Innokentiy Shibaev
129
79
0
11 Dec 2020
Combining Stochastic Adaptive Cubic Regularization with Negative
  Curvature for Nonconvex Optimization
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization
Seonho Park
Seung Hyun Jung
P. Pardalos
ODL
72
15
0
27 Jun 2019
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient
  Algorithms in Non-Convex Optimization
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization
Mahesh Chandra Mukkamala
Peter Ochs
Thomas Pock
Shoham Sabach
47
52
0
06 Apr 2019
Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization
Yi Zhou
Zhe Wang
Kaiyi Ji
Yingbin Liang
Vahid Tarokh
ODL
82
14
0
07 Feb 2019
Stochastic Variance-Reduced Cubic Regularization for Nonconvex
  Optimization
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
Zhe Wang
Yi Zhou
Yingbin Liang
Guanghui Lan
76
48
0
20 Feb 2018
1