Convergence Analysis of Proximal Gradient with Momentum for Nonconvex
Optimization

Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization

14 May 2017

Papers citing "Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization"

12 / 12 papers shown

Title
A Survey on Efficient Training of Transformers Bohan Zhuang Jing Liu Zizheng Pan Haoyu He Yuetian Weng Chunhua Shen 22 47 0 02 Feb 2023
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 19 11 0 15 Jun 2022
Learning Graph Neural Networks with Approximate Gradient Descent Qunwei Li Shaofeng Zou Leon Wenliang Zhong GNN 32 1 0 07 Dec 2020
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling Risheng Liu Pan Mu Jian Chen Xin-Yue Fan Zhongxuan Luo 38 25 0 18 Oct 2019
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization Jiyang Bai Yuxiang Ren Jiawei Zhang ODL 18 1 0 25 Jul 2019
SGD Converges to Global Minimum in Deep Learning via Star-convex Path Yi Zhou Junjie Yang Huishuai Zhang Yingbin Liang Vahid Tarokh 14 71 0 02 Jan 2019
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property Yi Zhou Zhe Wang Yingbin Liang 21 23 0 22 Aug 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization Dongruo Zhou Pan Xu Quanquan Gu 25 146 0 20 Jun 2018
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization Zhe Wang Yi Zhou Yingbin Liang Guanghui Lan 29 46 0 20 Feb 2018
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization Zhize Li Jian Li 33 116 0 13 Feb 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 133 1,198 0 16 Aug 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods Guoyin Li Ting Kei Pong 102 288 0 09 Feb 2016