High-dimensional Cost-constrained Regression via Non-convex Optimization

Technometrics ◽

10.1080/00401706.2021.1905071 ◽

2021 ◽

pp. 1-33

Author(s):

Guan Yu ◽

Haoda Fu ◽

Yufeng Liu

Keyword(s):

Convex Optimization ◽

High Dimensional ◽

Constrained Regression

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A convex optimization approach to high-dimensional sparse quadratic discriminant analysis

The Annals of Statistics ◽

10.1214/20-aos2012 ◽

2021 ◽

Vol 49 (3) ◽

Author(s):

T. Tony Cai ◽

Linjun Zhang

Keyword(s):

Discriminant Analysis ◽

Convex Optimization ◽

High Dimensional ◽

Optimization Approach ◽

Quadratic Discriminant Analysis

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A Randomized Block Coordinate Iterative Regularized Subgradient Method for High-dimensional Ill-posed Convex Optimization

2019 American Control Conference (ACC) ◽

10.23919/acc.2019.8815256 ◽

2019 ◽

Author(s):

Harshal Kaushik ◽

Farzad Yousefian

Keyword(s):

Convex Optimization ◽

Subgradient Method ◽

High Dimensional ◽

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High-dimensional change-point estimation: Combining filtering with convex optimization

2015 IEEE International Symposium on Information Theory (ISIT) ◽

10.1109/isit.2015.7282435 ◽

2015 ◽

Author(s):

Yong Sheng Soh ◽

Venkat Chandrasekaran

Keyword(s):

Convex Optimization ◽

Change Point ◽

Dimensional Change ◽

Point Estimation ◽

High Dimensional ◽

Change Point Estimation

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High-dimensional change-point estimation: Combining filtering with convex optimization

Applied and Computational Harmonic Analysis ◽

10.1016/j.acha.2015.11.003 ◽

2017 ◽

Vol 43 (1) ◽

pp. 122-147 ◽

Author(s):

Yong Sheng Soh ◽

Venkat Chandrasekaran

Keyword(s):

Convex Optimization ◽

Change Point ◽

Dimensional Change ◽

Point Estimation ◽

High Dimensional ◽

Change Point Estimation

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Gray-Box Identification for High-Dimensional Manifold Constrained Regression

IFAC Proceedings Volumes ◽

10.3182/20090706-3-fr-2004.00215 ◽

2009 ◽

Vol 42 (10) ◽

pp. 1292-1297 ◽

Author(s):

Henrik Ohlsson ◽

Lennart Ljung

Keyword(s):

High Dimensional ◽

Dimensional Manifold ◽

Constrained Regression

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High-Dimensional Probability

10.1017/9781108231596 ◽

2018 ◽

Author(s):

Roman Vershynin

Keyword(s):

High Dimensional

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Convex Optimization

10.1017/cbo9780511804441 ◽

2004 ◽

Cited By ~ 23918

Author(s):

Stephen Boyd ◽

Lieven Vandenberghe

Keyword(s):

Convex Optimization

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Large Sample Covariance Matrices and High-Dimensional Data Analysis

10.1017/cbo9781107588080 ◽

2015 ◽

Author(s):

Jianfeng Yao ◽

Shurong Zheng ◽

Zhidong Bai

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Covariance Matrices ◽

High Dimensional ◽

Large Sample ◽

Sample Covariance Matrices ◽

Sample Covariance ◽

High Dimensional Data Analysis

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Convex Optimization of Power Systems

10.1017/cbo9781139924672 ◽

2015 ◽

Author(s):

Joshua Adam Taylor

Keyword(s):

Convex Optimization ◽

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The Semantic Credentials of High-Dimensional Memory Models

PsycEXTRA Dataset ◽

10.1037/e528942014-058 ◽

2014 ◽

Author(s):

Curt Burgess ◽

Sarah Maples

Keyword(s):

Memory Models ◽

High Dimensional

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