Convex Tensor Decomposition via Structured Schatten Norm Regularization

26 March 2013

Papers citing "Convex Tensor Decomposition via Structured Schatten Norm Regularization"

12 / 12 papers shown

Title
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 129 44 0 09 Nov 2019
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery Cun Mu Bo Huang John N. Wright D. Goldfarb 112 307 0 22 Jul 2013
Group Lasso with Overlaps: the Latent Group Lasso approach G. Obozinski Laurent Jacob Jean-Philippe Vert 106 183 0 03 Oct 2011
Structured Sparsity and Generalization Andreas Maurer Massimiliano Pontil 114 63 0 17 Aug 2011
Convex and Network Flow Optimization for Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 93 109 0 11 Apr 2011
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions Alekh Agarwal S. Negahban Martin J. Wainwright 171 432 0 23 Feb 2011
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction Rina Foygel Nathan Srebro 77 74 0 18 Feb 2011
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 146 1,338 0 03 Dec 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 280 1,377 0 13 Oct 2010
Estimation of low-rank tensors via convex optimization Ryota Tomioka K. Hayashi H. Kashima 151 208 0 05 Oct 2010
Structured Variable Selection with Sparsity-Inducing Norms Rodolphe Jenatton Jean-Yves Audibert Francis R. Bach 161 606 0 22 Apr 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization Benjamin Recht Maryam Fazel P. Parrilo 256 3,762 0 28 Jun 2007