Results 211 to 220 of about 16,083 (234)
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Training Spiking Neural Networks via the Alternating Direction Method of Multipliers (ADMM)

Spiking Neural Networks (SNNs) offer a promising, energy-efficient alternative to the current Deep Learning paradigm. Drawing inspiration from biological neurons, they enable sparse information transmission, which might be crucial in low-power and low-latency applications.
openaire   +1 more source

An alternating direction method of multipliers for solving user equilibrium problem

European Journal of Operational Research, 2023
Xinyuan Chen, Shuaian Wang
exaly  

Local Linear Convergence of the Alternating Direction Method of Multipliers for Nonconvex Separable Optimization Problems

Journal of Optimization Theory and Applications, 2021
Xingju Cai, Deren Han, Cai Xingju
exaly  

An Accelerated Linearized Alternating Direction Method of Multipliers

SIAM Journal on Imaging Sciences, 2015
Yuyuan Ouyang   +2 more
exaly  

Local Linear Convergence of the Alternating Direction Method of Multipliers for Quadratic Programs

SIAM Journal on Numerical Analysis, 2013
Deren Han, Xiaoming Yuan
exaly  

Optimally linearizing the alternating direction method of multipliers for convex programming

Computational optimization and applications, 2019
B. He, Fengming Ma, Xiaoming Yuan
semanticscholar   +1 more source

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