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Boaz Nadler

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The Trimmed Lasso: Sparse Recovery Guarantees And Practical OptimizationStatistics in the Big Data Era 20222022-06-01
Addresses best-subset sparse recovery by using the trimmed lasso penalty (L1 minus L1 of the top-k entries) and proves stability: any local minimizer with…
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Robust Sparse Covariance Estimation by Thresholding Tyler's M-estimatorRobust and High-Dimensional Statistics (Simons Institute workshop, 2018)2018-10-29
Proposes that thresholded Tyler's M-estimator and its regularized variant recover an approximately sparse shape matrix for elliptical heavy‑tailed data at the…
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