High Dimensional Robust Sparse Regression

By Editorial Team · October 31, 2026 · 5 min read

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Full Felix Abramovich: High-dimensional classification by sparse logistic regression Guide
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Robust, Interpretable Statistical Models: Sparse Regression with the LASSO
Robust, Interpretable Statistical Models: Sparse Regression with the LASSO
On the Power of Preconditioning in Sparse Linear Regression
On the Power of Preconditioning in Sparse Linear Regression
Hussein Hazimeh - Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization
Hussein Hazimeh - Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization
Hui Zou: Sparse Convoluted Rank Regression in High Dimensions
Hui Zou: Sparse Convoluted Rank Regression in High Dimensions
Some Problems of Robust High-dimensional Statistics
Some Problems of Robust High-dimensional Statistics
High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding
High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding
Robustness in High-Dimensional Inference Tasks
Robustness in High-Dimensional Inference Tasks
Azam Kheyri - New Sparse Estimator for High-Dimensional Precision Matrix Estimation
Azam Kheyri - New Sparse Estimator for High-Dimensional Precision Matrix Estimation
Robust Sparse Covariance Estimation by Thresholding Tyler's M-estimator
Robust Sparse Covariance Estimation by Thresholding Tyler's M-estimator
On the Power of Preconditioning in Sparse Linear Regression
On the Power of Preconditioning in Sparse Linear Regression
Sparse Regression LDPC Codes (arXiv:2311.07720)
Sparse Regression LDPC Codes (arXiv:2311.07720)

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Last Updated: October 31, 2026

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Constantine Caramanis (University of Texas at Austin) ... Po-Ling Loh (University of Wisconsin, Madison) ... CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 03, 2020 by the ... Frederic Koehler (UC Berkeley) Meet the Fellows Welcome Event. Part of Discrete Optimization Talks: talks.discreteopt.com Hussein Hazimeh -- MIT American Statistical Association (ASA), Section on Statistical Learning and Data Science (SLDS) September webinar: Gilad Lerman (University of Minnesota) simons.berkeley.edu/talks/some-problems- Authors: Yongxin Wang (Shandong University), Zhen-Duo Chen (Shandong University), Xin Luo (Shandong University) and Xin- ... Jelena Bradic (UC San Diego) simons.berkeley.edu/talks/ In recent years, there has been significant research into the problem of estimating covariance and precision matrices in ... Boaz Nadler (Weizmann Institute of Science) ... Raghu Meka (UCLA) simons.berkeley.edu/talks/power-preconditioning- This article introduces a novel concatenated coding scheme called

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