Overview on High Dimensional Robust Sparse Regression
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Hussein Hazimeh - Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization
Azam Kheyri - New Sparse Estimator for High-Dimensional Precision Matrix Estimation
Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices
Sparse Regression Comparison
Robust Sparse Covariance Estimation by Thresholding Tyler's M-estimator
High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding
Hui Zou: Sparse Convoluted Rank Regression in High Dimensions
AISTATS 2012: High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
On the Power of Preconditioning in Sparse Linear Regression
High-Dimensional Robust Statistics with Ilias Diakonikolas - #351
Robust, Interpretable Statistical Models: Sparse Regression with the LASSO
Detailed Analysis
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Last Updated: August 15, 2026
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