Results 61 to 70 of about 27,500 (171)
Distributed Electric Vehicle Charging Scheduling with Transactive Energy Management
Energies, 2021 A distributed electric vehicle (EV) charging scheduling strategy with transactive energy (TE) management is presented in this paper to deal with technical issues in distribution network operation and discuss the economic benefits of EV charging.
Zhouquan Wu, Bo Chen
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Sparse temporal difference learning via alternating direction method of multipliers [PDF]
, 2016 Recent work in off-line Reinforcement Learning has focused on efficient algorithms to incorporate feature selection, via 1-regularization, into the Bellman operator fixed-point estimators. These developments now mean that over-fitting can be avoided when
Nelson, JDB, Tsipinakis, N
core
Fast Stochastic Alternating Direction Method of Multipliers
, 2013 In this paper, we propose a new stochastic alternating direction method of multipliers (ADMM) algorithm, which incrementally approximates the full gradient in the linearized ADMM formulation. Besides having a low per-iteration complexity as existing stochastic ADMM algorithms, the proposed algorithm improves the convergence rate on convex problems from
Zhong, Leon Wenliang, Kwok, James T.
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Adaptive Stochastic Alternating Direction Method of Multipliers
, 2013 The Alternating Direction Method of Multipliers (ADMM) has been studied for years. The traditional ADMM algorithm needs to compute, at each iteration, an (empirical) expected loss function on all training examples, resulting in a computational complexity proportional to the number of training examples.
Zhao, Peilin +3 more
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Privacy-Preserving Alternating Direction Method of Multipliers
, 2023 As machine learning models affect our lives more strongly every day, developingmethods to train these models becomes paramount. In our paper, we focus on the problem ofminimizing a sum of functions, which lies at the heart of most - if not all - of these trainingmethods.
Källström, Ivar, Gamard, Lukas
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Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers [PDF]
IEEE Transactions on Medical Imaging, 2014 The ordered subset expectation maximization (OSEM) algorithm approximates the gradient of a likelihood function using a subset of projections instead of using all projections so that fast image reconstruction is possible for emission and transmission tomography such as SPECT, PET, and CT.
Chun, Se Young +2 more
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Tongxin xuebao, 2021 To solve the problem of large power consumption caused by a large number of phase shifter (PS) in millimeter wave multi-antenna systems, a new type of dynamic connection structure was designed.With the goal of maximizing spectrum efficiency, two hybrid ...
Xiongwen ZHAO +5 more
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A Unified Alternating Direction Method of Multipliers by Majorization Minimization [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Accompanied with the rising popularity of compressed sensing, the Alternating Direction Method of Multipliers (ADMM) has become the most widely used solver for linearly constrained convex problems with separable objectives. In this work, we observe that many previous variants of ADMM update the primal variable by minimizing different majorant functions
Canyi Lu +3 more
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On the Convergence Analysis of the Alternating Direction Method of Multipliers with Three Blocks
Abstract and Applied Analysis, 2013 We consider a class of linearly constrained separable convex programming problems whose objective functions are the sum of three convex functions without coupled variables. For those problems, Han and Yuan (2012) have shown that the sequence generated by
Caihua Chen, Yuan Shen, Yanfei You
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IEEE Open Journal of the Industrial Electronics SocietyEffectively utilizing flexible energy resources requires optimizing their operation over time to balance dynamic demand and fluctuating supply from volatile renewable sources. Traditionally, this has been achieved through centralized optimization models,
Vincent Henkel +4 more
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