A Unified Framework for Sparse Relaxed Regularized Regression: SR3

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A Unified Framework for Sparse Relaxed Regularized Regression: SR3

14 July 2018

Steven L. Brunton

Aleksandr Aravkin

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Papers citing "A Unified Framework for Sparse Relaxed Regularized Regression: SR3"

7 / 7 papers shown

Title
Generalized Kalman Smoothing: Modeling and Algorithms Aleksandr Aravkin J. Burke L. Ljung A. Lozano G. Pillonetto 135 112 0 20 Sep 2016
False Discoveries Occur Early on the Lasso Path Weijie Su M. Bogdan Emmanuel Candes 190 183 0 05 Nov 2015
Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes Jian Yang J. Qian Lei Luo Fanlong Zhang Yong Xu CVBM 66 337 0 06 May 2014
Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation Aleksandr Aravkin Rajiv Kumar Hassan Mansour Ben Recht Felix J. Herrmann 93 76 0 20 Feb 2013
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 344 3,570 0 25 Feb 2010
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing D. Donoho Jared Tanner 101 465 0 14 Jun 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization Benjamin Recht Maryam Fazel P. Parrilo 424 3,772 0 28 Jun 2007

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