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A Momentum-Based Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Optimization
期刊论文
MATHEMATICS OF OPERATIONS RESEARCH, 2025
作者:
Shi, Qiankun
;
Wang, Xiao
Adobe PDF(4921Kb)
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收藏
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浏览/下载:63/1
|
提交时间:2025/02/12
nonconvex optimization
functional constraint
augmented Lagrangian function
stochastic gradient
momentum
global convergence
oracle complexity
A Mapper Algorithm with implicit intervals and its optimization
预印本
2024
作者:
Tao, Yuyang
;
Ge, Shufei
Adobe PDF(3369Kb)
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收藏
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浏览/下载:52/3
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提交时间:2025/02/12
Topological Data Analysis
Mapper Graph
Gaussian Mixture Model
Extended Persistence Homology
Stochastic gradient descent
From Multipliers to Integrators: a Survey of Stochastic Computing Primitives
期刊论文
IEEE TRANSACTIONS ON NANOTECHNOLOGY, 2024, 卷号: PP, 期号: 99, 页码: 238-249
作者:
Shanshan Liu
;
Josep L. Rosselló
;
Siting Liu
;
Xiaochen Tang
;
Joan Font-Rosselló
Adobe PDF(1184Kb)
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收藏
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浏览/下载:301/2
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提交时间:2024/03/29
Stochastic computing
multiplier
adder
divider
finite state machine
integrator
gradient descent
HSB-GDM: A Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks
会议论文
PROCEEDINGS OF THE 17TH ACM INTERNATIONAL SYMPOSIUM ON NANOSCALE ARCHITECTURES, NANOARCH 2022, Virtual, Online, United states, December 7, 2022 - December 9, 2022
作者:
Li, Han
;
Shi, Heng
;
Jiang, Honglan
;
Liu, Siting
Adobe PDF(758Kb)
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浏览/下载:366/4
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提交时间:2023/07/14
Digital arithmetic
Energy efficiency
Gradient methods
Timing circuits
Binary circuits
Binary gradients
Edge application
Energy efficient
Gradient-descent
Neural-networks
Quantisation
Stochastic computing
Stochastics
Weight update
Communication-Efficient Quantized SGD for Learning Polynomial Neural Network
会议论文
CONFERENCE PROCEEDINGS OF THE IEEE INTERNATIONAL PERFORMANCE, COMPUTING, AND COMMUNICATIONS CONFERENCE, Austin, TX, United states, October 29, 2021 - October 31, 2021
作者:
Zhanpeng Yang
;
Yong Zhou
;
Youlong Wu
;
Yuanming Shi
Adobe PDF(2610Kb)
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收藏
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浏览/下载:599/0
|
提交时间:2022/07/01
Convex optimization
Cost reduction
Gradient methods
Optimal systems
Stochastic systems
Communication efficiency
Convergence analysis
Convergence rates
Neural-networks
Nonconvex optimization
Optimal solutions
Polynomial neural network
Quantized stochastic gradient descent
Stochastic gradient descent
Stochastic gradient descent algorithm
Outage minimization for intelligent reflecting surface aided MISO communication systems via stochastic beamforming
会议论文
PROCEEDINGS OF THE IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP, Hangzhou, China, June 8, 2020 - June 11, 2020
作者:
Wenzhi Fang
;
Min Fu
;
Yuanming Shi
;
Yong Zhou
Adobe PDF(348Kb)
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收藏
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浏览/下载:1174/274
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提交时间:2020/12/04
Array processing
Beamforming
Benchmarking
Channel state information
Gradient methods
Optimization
Stochastic systemsChannel distributions
Minimization problems
Multiple input single outputs
Objective functions
Outage minimization
Stochastic gradient descent algorithm
Stochastic optimization problems
Wireless propagation
An Efficient Method for Non-Convex Blind Deconvolution
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 113663-113674
作者:
Liu, Yixian
Adobe PDF(1769Kb)
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浏览/下载:397/3
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提交时间:2019/09/23
Blind deconvolution
non-convex
stochastic gradient descent
Kaczmarz
linear convergence
geometric property
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