Fast Algorithms for LS and LAD-Collaborative Regression

DOI10.1142/S0217595922500014OpenAlexW3213059145MaRDI QIDQ5888372

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Publication date: 25 April 2023

Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217595922500014

zbMATH Keywords

duality theoryleast absolute deviationalternating direction method of multiplierssymmetric Gauss-Seidelstatistical interpretationcollaborative regression

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Uses Software

• PMA

Cites Work

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• Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data
• The \(L_1\) penalized LAD estimator for high dimensional linear regression
• An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming
• Directions in robust statistics and diagnostics. Part II. Proceedings of the IMA 1989 summer program 'Robustness, diagnostics, computing and graphics in statistics', Minneapolis, MN (USA)
• Optimization and nonsmooth analysis
• Practical Aspects of the Moreau--Yosida Regularization: Theoretical Preliminaries
• First-Order Methods in Optimization
• Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting
• Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming
• Asymptotic Analysis of Robust LASSOs in the Presence of Noise With Large Variance
• Convex Analysis

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