On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex
Sparse Learning in High Dimensions

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On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions

19 June 2017

Tong Zhang

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Papers citing "On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions"

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Title
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique Junxian Zhu Jin Zhu Borui Tang Xuan-qing Chen Hongmei Lin Xueqin Wang 39 2 0 01 Aug 2023
A Global Two-stage Algorithm for Non-convex Penalized High-dimensional Linear Regression Problems P. Li Min Liu Zhou Yu 21 0 0 23 Nov 2021
On Newton Screening Jian Huang Yuling Jiao Lican Kang Jin Liu Yanyan Liu Xiliang Lu Yuanyuan Yang 39 2 0 27 Jan 2020
A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models Jian Huang Yuling Jiao Lican Kang Jin Liu Yanyan Liu Xiliang Lu 33 0 0 16 Jan 2020
A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning Yueyong Shi Jian Huang Yuling Jiao Qinglong Yang 64 4 0 24 Feb 2018
Misspecified Nonconvex Statistical Optimization for Phase Retrieval Zhuoran Yang Lin F. Yang Ethan X. Fang T. Zhao Zhaoran Wang Matey Neykov 44 15 0 18 Dec 2017