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信息科学与技术学院 [32]
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赵子平 [32]
张泽鹏 [12]
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Efficient Nonconvex Optimization for Two-way Sparse Reduced-Rank Regression
会议论文
2024 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), Athens, Greece, 7-12 July 2024
作者:
Cheng Cheng
;
Ziping Zhao
Adobe PDF(583Kb)
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浏览/下载:67/1
  |  
提交时间:2024/08/26
Error statistics
Logistic regression
Matrix algebra
Optimization algorithms
Polynomial regression
Coefficient matrix
Gradient-descent
Hard thresholding
Linear regression modelling
Multiple response
Nonconvex optimization
Nonconvex-optimization
Reduced rank regression
Statistical errors
Two ways
Guaranteed Robust Large Precision Matrix Estimation Under t-Distribution
会议论文
2024 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), Athens, Greece, 7-12 July 2024
作者:
Fengpei Li
;
Ziping Zhao
Adobe PDF(578Kb)
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浏览/下载:68/1
  |  
提交时间:2024/08/26
Gaussian distribution
Matrix algebra
Statistics
EM algorithms
M-estimation
Matrix estimation
Non-convex statistical estimation
Precision matrix
Sparsity
Statistical estimation
Student's t distribution
Student-t distribution
T distribution
Distributed Sparse Covariance Matrix Estimation
会议论文
2024 IEEE 13RD SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), Corvallis, OR, USA, 8-11 July 2024
作者:
Wenfu Xia
;
Ziping Zhao
;
Ying Sun
Adobe PDF(425Kb)
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浏览/下载:54/1
  |  
提交时间:2024/09/18
Constrained optimization
Convex optimization
Covariance matrix
Data privacy
Iterative methods
Maximum likelihood estimation
Optimization algorithms
Centralised
Communication privacy
Covariance matrices
Covariance matrix estimation
Decentralized optimization
Iterative shrinkagethresholding algorithms
Ma ximum likelihoods
Maximum-likelihood
Nonconvex optimization
Sparsity
Two-Way Sparse Reduced-Rank Regression via Scaled Gradient Descent with Hard Thresholding
会议论文
2024 IEEE 13RD SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), Corvallis, OR, USA, 8-11 July 2024
作者:
Cheng Cheng
;
Ziping Zhao
Adobe PDF(519Kb)
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收藏
  |  
浏览/下载:63/1
  |  
提交时间:2024/09/18
Error statistics
Iterative methods
Logistic regression
Support vector regression
Convergence analysis
Gradient-descent
Hard thresholding
Low-rank
Multiple response
Multiple response linear regression
Scaled gradient descent
Sparse
Statistical errors
Two ways
Large Covariance Matrix Estimation Based on Factor Models via Nonconvex Optimization
会议论文
ICASSP 2024 - 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Seoul, Korea, Republic of, 14-19 April 2024
作者:
Shanshan Zou
;
Ziping Zhao
Adobe PDF(959Kb)
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收藏
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浏览/下载:117/0
  |  
提交时间:2024/03/29
Covariance matrix estimation
low-rank plus sparse
minimax rate
nonconvex statistical optimization
factor models
Accelerating Gradient Descent for Over-Parameterized Asymmetric Low-Rank Matrix Sensing via Preconditioning
会议论文
ICASSP 2024 - 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Seoul, Korea, Republic of, 14-19 April 2024
作者:
Cheng Cheng
;
Ziping Zhao
Adobe PDF(881Kb)
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收藏
  |  
浏览/下载:102/0
  |  
提交时间:2024/03/29
Low-rank matrix sensing
matrix recovery
preconditioned gradient descent
over-parameterization
Joint Blind Deconvolution And Demixing Of Sparse Signals Via Factorization And Nonconvex Optimization
会议论文
ICASSP 2024 - 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Seoul, Korea, Republic of, 14-19 April 2024
作者:
Mengting Chen
;
Ziping Zhao
Adobe PDF(952Kb)
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收藏
  |  
浏览/下载:102/0
  |  
提交时间:2024/03/29
Blind deconvolution
demixing
sparsity
nonconvex optimization
majorization-minimization
Graph Neural Networks With Adaptive Structures
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2024, 卷号: PP, 期号: 99
作者:
Zepeng Zhang
;
Songtao Lu
;
Zengfeng Huang
;
Ziping Zhao
Adobe PDF(613Kb)
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收藏
  |  
浏览/下载:45/1
  |  
提交时间:2024/10/28
Accelerating Quadratic Transform and WMMSE
会议论文
IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS, Athens, Greece, July 7, 2024 - July 12, 2024
作者:
Shen, Kaiming
;
Zhao, Ziping
;
Chen, Yannan
;
Zhang, Zepeng
;
Cheng, Hei Victor
Adobe PDF(1021Kb)
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浏览/下载:58/6
  |  
提交时间:2024/09/20
Cramer-Rao bounds
Extrapolation
Fisher information matrix
Image segmentation
Linear transformations
Quadratic programming
Signal to noise ratio
Communications processing
Convergence rates
Crame Rao bounds
Fisher information
Fractional programming
Means square errors
Minimum mean squares
Programming problem
Signal processing problems
Signalto-interference-plus-noise ratios (SINR)
High-Dimensional Constrained Huber Regression
会议论文
IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP, Corvallis, OR, USA, 8-11 July 2024
作者:
Quan Wei
;
Ziping Zhao
Adobe PDF(299Kb)
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收藏
  |  
浏览/下载:137/1
  |  
提交时间:2024/05/29
Multiple linear regression
Support vector regression
Data analytics
High-dimensional
High-dimensional statistics
Higher-dimensional
Huber regression
Linear convergence
Robust regressions
Sample sizes
Sparse learning
Statistical estimation