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High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding
4 3 Sparse Regression | Machine Learning
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
Robust Sparse Covariance Estimation by Thresholding Tyler's M-estimator
Robustness in High-Dimensional Inference Tasks
Jean Honorio: Fair Sparse Regression w. Clustering: An Invex Relaxation for a Combinatorial Problem
SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection
Sparse Regression Comparison
On Robust Regression Estimators in High dimension, Noureddine El Karoui, University of California
Hui Zou: Sparse Convoluted Rank Regression in High Dimensions
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Last Updated: September 29, 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 ... Authors: Yongxin Wang (Shandong University), Zhen-Duo Chen (Shandong University), Xin Luo (Shandong University) and Xin- ... Part of Discrete Optimization Talks: talks.discreteopt.com Hussein Hazimeh -- MIT In recent years, there has been significant research into the problem of estimating covariance and precision matrices in ... Boaz Nadler (Weizmann Institute of Science) ... Jelena Bradic (UC San Diego) simons.berkeley.edu/talks/robustness- This talk was held on September 30, 2021 as a part of the MLFL series, hosted by the Center for Data Science, UMass Amherst. A comparison between the results of In this talk I will describe the asymptotic behavior of ro-bust American Statistical Association (ASA), Section on Statistical Learning and Data Science (SLDS) September webinar:
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