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检索条件"主题词=accelerated algorithms"
16 条 记 录,以下是1-10 订阅
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Lower bounds and accelerated algorithms for bilevel optimization
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2023年 第1期24卷 795-850页
作者: Kaiyi Ji Yingbin Liang Department of Computer Science and Engineering University at Buffalo Buffalo NY Department of Electrical and Computer Engineering The Ohio State University Columbus OH
Bilevel optimization has recently attracted growing interests due to its wide applications in modern machine learning problems. Although recent studies have characterized the convergence rate for several such popular ... 详细信息
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accelerated Decentralized Load Balancing in Multi-Agent Networks
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IEEE ACCESS 2024年 12卷 161954-161967页
作者: Erofeeva, Victoria Granichin, Oleg Volodina, Elena St Petersburg State Univ Ctr Artificial Intelligence & Data Sci St Petersburg 199034 Russia St Petersburg State Univ Fac Math & Mech St Petersburg 199034 Russia
Decentralized load balancers are gaining in popularity because they offer scalability, resilience, and the ability to handle high-demand workloads in distributed network systems. In practice, decentralized algorithms ... 详细信息
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A Study on Accelerating Average Consensus algorithms Using Delayed Feedback
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IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS 2023年 第1期10卷 157-168页
作者: Moradian, Hossein Kia, Solmaz S. Univ Calif Irvine Dept Mech & Aerosp Engn Irvine CA 92697 USA
This article studies accelerating a Laplacian-based dynamic average consensus algorithm by splitting the conventional delay-free disagreement feedback into a weighted summation of current and outdated terms. When dete... 详细信息
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HIGH-ORDER OPTIMIZATION METHODS FOR FULLY COMPOSITE PROBLEMS
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SIAM JOURNAL ON OPTIMIZATION 2022年 第3期32卷 2402-2427页
作者: Doikov, Nikita Nesterov, Yurii Catholic Univ Louvain UCL Inst Informat & Commun Technol Elect & Appl Math B-1348 Louvain La Neuve Belgium Catholic Univ Louvain UCL CORE B-1348 Louvain La Neuve Belgium
In this paper, we study a fully composite formulation of convex optimization problems, which includes, as a particular case, the problems with functional constraints, max-type minimization problems, and problems with ... 详细信息
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Fast sparse optimization via adaptive shrinkage  22
Fast sparse optimization via adaptive shrinkage
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22nd World Congress of the International Federation of Automatic Control (IFAC)
作者: Cerone, Vito Fosson, Sophie M. Regruto, Diego Politecn Torino Dept Control & Comp Engn Turin Italy
The need for fast sparse optimization is emerging, e.g., to deal with large-dimensional data-driven problems and to track time-varying systems. In the framework of linear sparse optimization, the iterative shrinkage-t... 详细信息
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Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences
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COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2021年 第2期79卷 369-404页
作者: Jahani, Majid Gudapati, Naga Venkata C. Ma, Chenxin Tappenden, Rachael Takac, Martin Lehigh Univ Dept Syst & Ind Engn HS Mohler Lab 200 West Packer Ave Bethlehem PA 18015 USA Univ Bologna Dept Elect Elect & Informat Engn Viale Risorgimento 2 I-40136 Bologna Italy Univ Canterbury Sch Math & Stat Private Bag 4800 Christchurch 8140 New Zealand
In this work we introduce the concept of an Underestimate Sequence (UES), which is motivated by Nesterov's estimate sequence. Our definition of a UES utilizes three sequences, one of which is a lower bound (or und... 详细信息
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Fast sparse optimization via adaptive shrinkage
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IFAC-PapersOnLine 2023年 第2期56卷 10390-10395页
作者: Vito Cerone Sophie M. Fosson Diego Regruto
The need for fast sparse optimization is emerging, e.g., to deal with large-dimensional data-driven problems and to track time-varying systems. In the framework of linear sparse optimization, the iterative shrinkage-t... 详细信息
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accelerated Primal-Dual Algorithm for Distributed Non-convex Optimization
Accelerated Primal-Dual Algorithm for Distributed Non-convex...
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Zhang, Shengjun Bailey, Colleen P. Univ North Texas OSCAR Dept Elect Engn Denton TX 76203 USA
This paper investigates accelerating the convergence of distributed optimization algorithms on non-convex problems. We propose a distributed stochastic gradient primal-dual with fixed parameters and "powerball&qu... 详细信息
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Computation-Aware Distributed Optimization over Networks: A Hybrid Dynamical Systems Approach
Computation-Aware Distributed Optimization over Networks: A ...
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2021 Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems (CAADCPS)
作者: Ochoa, Daniel E. Poveda, Jorge, I Uribe, Cesar A. Univ Colorado Boulder CO 80309 USA Rice Univ Houston TX 77251 USA
The area of Cyber-Physical Systems (CPS) has emerged as a general discipline that studies complex dynamical systems that incorporate computation, control, and communication technologies [10]. The application of CPS sp... 详细信息
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accelerated Monte Carlo method for calculation of sink strengths of absorbing surfaces for 3-D migrating particles in crystals of the cubic system
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JOURNAL OF NUCLEAR MATERIALS 2020年 第0期531卷 152006-000页
作者: Sivak, A. B. Sivak, P. A. Chernov, V. M. Natl Res Ctr Kurchatov Inst 1 Akad Kurchatova Pl Moscow 123182 Russia JSC VNIINM Moscow Russia
An accelerated (compared to the standard "residence-time" algorithm) Monte Carlo method for the calculation of the sink strengths of absorbing surfaces for particles in crystals of the cubic system has been ... 详细信息
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