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检索条件"主题词=proximal gradient algorithms"
10 条 记 录,以下是1-10 订阅
Linear convergence of inexact descent method and inexact proximal gradient algorithms for lower-order regularization problems
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JOURNAL OF GLOBAL OPTIMIZATION 2021年 第4期79卷 853-883页
作者: Hu, Yaohua Li, Chong Meng, Kaiwen Yang, Xiaoqi Shenzhen Univ Shenzhen Key Lab Adv Machine Learning & Applicat Coll Math & Stat Shenzhen 518060 Peoples R China Zhejiang Univ Sch Math Sci Hangzhou 310027 Peoples R China Southwestern Univ Finance & Econ Sch Econ & Math Chengdu 611130 Peoples R China Hong Kong Polytech Univ Dept Appl Math Kowloon Hong Kong Peoples R China
The l(p) regularization problem with 0 < p < 1 has been widely studied for finding sparse solutions of linear inverse problems and gained successful applications in various mathematics and applied science fields... 详细信息
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Decentralized proximal gradient algorithms With Linear Convergence Rates
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2021年 第6期66卷 2787-2794页
作者: Alghunaim, Sulaiman A. Ryu, Ernest K. Yuan, Kun Sayed, Ali H. Kuwait Univ Dept Elect Engn Safat 5969 Kuwait Seoul Natl Univ Dept Math Sci Seoul 08826 South Korea Alibaba Grp US Bellevue WA 98004 USA Ecole Polytech Fed Lausanne EPFL Sch Engn CH-1015 Lausanne Switzerland
This article studies a class of nonsmooth decentralized multiagent optimization problems where the agents aim at minimizing a sum of local strongly-convex smooth components plus a common nonsmooth term. We propose a g... 详细信息
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Convex-Concave Backtracking for Inertial Bregman proximal gradient algorithms in Nonconvex Optimization
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SIAM JOURNAL ON MATHEMATICS OF DATA SCIENCE 2020年 第3期2卷 658-682页
作者: Mukkamala, Mahesh Chandra Ochs, Peter Pock, Thomas Sabach, Shoham Saarland Univ Dept Math D-66123 Saarbrucken Germany Graz Univ Technol Inst Comp Graph & Vis A-8010 Graz Austria Technion Fac Ind Engn IL-3200003 Haifa Israel
Backtracking line-search is an old yet powerful strategy for finding better step sizes to be used in proximal gradient algorithms. The main principle is to locally find a simple convex upper bound of the objective fun... 详细信息
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SPARSE MATRIX LINEAR MODELS FOR STRUCTURED HIGH-THROUGHPUT DATA
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ANNALS OF APPLIED STATISTICS 2022年 第1期16卷 169-192页
作者: Liang, Jane W. Sen, Saunak Harvard TH Chan Sch Publ Hlth Dept Biostat Boston MA 02115 USA Univ Tennessee Hlth Sci Ctr Dept Prevent Med Knoxville TN 37996 USA
Recent technological advancements have led to the rapid generation of high-throughput biological data which can be used to address novel scientific questions in broad areas of research. These data can be thought of as... 详细信息
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Novel proximal gradient Methods for Nonnegative Matrix Factorization with Sparsity Constraints
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SIAM JOURNAL ON IMAGING SCIENCES 2020年 第1期13卷 381-421页
作者: Teboulle, Marc Vaisbourd, Yakov Tel Aviv Univ Sch Math Sci IL-69978 Ramat Aviv Israel
We consider the nonnegative matrix factorization (NMF) problem with sparsity constraints formulated as a nonconvex composite minimization problem. We introduce four novel proximal gradient based algorithms proven glob... 详细信息
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Accelerated Distributed Composite Nesterov gradient Descent Algorithm  41
Accelerated Distributed Composite Nesterov Gradient Descent ...
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第41届中国控制会议
作者: Xinhui Yue Yuan-Hua Ni College of Artificial Intelligence Nankai University
For the composite function composed of L-smooth general convex functions and non-smooth convex functions,a new accelerated distributed composite Nesterov gradient descent algorithm(Acc-DCNGD-NSC) is proposed in this... 详细信息
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FIRST ORDER METHODS BEYOND CONVEXITY AND LIPSCHITZ gradient CONTINUITY WITH APPLICATIONS TO QUADRATIC INVERSE PROBLEMS
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SIAM JOURNAL ON OPTIMIZATION 2018年 第3期28卷 2131-2151页
作者: Bolte, Jerome Sabach, Shoham Teboulle, Marc Vaisbourd, Yakov Univ Toulouse I TSE Manufacture Tabacs 21 Allee Brienne F-31015 Toulouse France Technion Fac Ind Engn IL-32000 Haifa Israel Tel Aviv Univ Sch Math Sci IL-69978 Ramat Aviv Israel
We focus on nonconvex and nonsmooth minimization problems with a composite objective, where the differentiable part of the objective is freed from the usual and restrictive global Lipschitz gradient continuity assumpt... 详细信息
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Some Contributions to High Dimensional Mixed Effects Logistic Regression Models
Some Contributions to High Dimensional Mixed Effects Logisti...
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作者: Guo, Jun University of Michigan
学位级别:Ph.D.
High dimensional mixed-effects generalized linear models extend the generalized linear models (GLMs) by adding random effects to the linear predictors of the original high dimensional GLMs. The high dimensional mixed-... 详细信息
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Structured Outlier Models for Robust Dictionary Learning  49
Structured Outlier Models for Robust Dictionary Learning
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49th Annual Conference on Information Sciences and Systems (CISS)
作者: Forero, Pedro A. Shafer, Scott Harguess, Josh SPAWAR Syst Ctr Pacific San Diego CA 92152 USA
Robust dictionary learning algorithms seek to learn a dictionary while being robust to the presence of outliers in the training set. Often, the elements of the training set have an underlying structure due to, for exa... 详细信息
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An Accelerated proximal gradient Algorithm for Frame-Based Image Restoration via the Balanced Approach
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SIAM JOURNAL ON IMAGING SCIENCES 2011年 第2期4卷 573-596页
作者: Shen, Zuowei Toh, Kim-Chuan Yun, Sangwoon Natl Univ Singapore Dept Math Singapore 119076 Singapore Singapore MIT Alliance Singapore 117576 Singapore Korea Inst Adv Study Seoul 130722 South Korea
Frame-based image restoration by using the balanced approach has been developed over the last decade. Many recently developed algorithms for image restoration can be viewed as an acceleration of the proximal forward-b... 详细信息
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