Stochastic Variance-Reduced Cubic Regularized Newton Method

13 February 2018

Quanquan Gu

Papers citing "Stochastic Variance-Reduced Cubic Regularized Newton Method"

20 / 20 papers shown

Title
A Stochastic Quasi-Newton Method for Non-convex Optimization with Non-uniform Smoothness Zhenyu Sun Ermin Wei 153 0 0 22 Mar 2024
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization Yihang Gao Michael K. Ng 55 2 0 12 Oct 2022
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function Saeed Masiha Saber Salehkaleybar Niao He Negar Kiyavash Patrick Thiran 178 19 0 25 May 2022
Knowledge Removal in Sampling-based Bayesian Inference Shaopeng Fu Fengxiang He Dacheng Tao BDL MU 108 31 0 24 Mar 2022
Escape saddle points by a simple gradient-descent based algorithm Chenyi Zhang Tongyang Li ODL 88 15 0 28 Nov 2021
Distributed Learning Systems with First-order Methods Ji Liu Ce Zhang 65 45 0 12 Apr 2021
Escaping Saddle Points in Distributed Newton's Method with Communication Efficiency and Byzantine Resilience Avishek Ghosh R. Maity A. Mazumdar Kannan Ramchandran FedML 98 4 0 17 Mar 2021
Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods Guannan Liang Qianqian Tong Chunjiang Zhu J. Bi 116 3 0 07 Mar 2021
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks César A. Uribe Ali Jadbabaie 66 5 0 07 Jul 2020
Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates D. Kovalev Konstantin Mishchenko Peter Richtárik ODL 118 47 0 03 Dec 2019
A Stochastic Trust Region Method for Non-convex Minimization Zebang Shen Pan Zhou Cong Fang Alejandro Ribeiro 61 10 0 04 Mar 2019
Do Subsampled Newton Methods Work for High-Dimensional Data? Xiang Li Shusen Wang Zhihua Zhang 98 13 0 13 Feb 2019
Stochastic Recursive Variance-Reduced Cubic Regularization Methods Dongruo Zhou Quanquan Gu 132 26 0 31 Jan 2019
Sample Efficient Stochastic Variance-Reduced Cubic Regularization Method Dongruo Zhou Pan Xu Quanquan Gu 66 4 0 29 Nov 2018
Cubic Regularization with Momentum for Nonconvex Optimization Zhe Wang Yi Zhou Yingbin Liang Guanghui Lan 86 27 0 09 Oct 2018
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property Yi Zhou Zhe Wang Yingbin Liang 104 23 0 22 Aug 2018
Finding Local Minima via Stochastic Nested Variance Reduction Dongruo Zhou Pan Xu Quanquan Gu 138 23 0 22 Jun 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization Dongruo Zhou Pan Xu Quanquan Gu 143 152 0 20 Jun 2018
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization Zhe Wang Yi Zhou Yingbin Liang Guanghui Lan 95 49 0 20 Feb 2018
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 170 212 0 20 Jul 2017