Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery

10 May 2013

Papers citing "Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery"

21 / 21 papers shown

Title
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms F. Bunea Johannes Lederer Yiyuan She 136 109 0 01 Feb 2013
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization Jun Liu Shuiwang Ji Jieping Ye 157 732 0 09 May 2012
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 148 63 0 21 Apr 2012
High dimensional matrix estimation with unknown variance of the noise Olga Klopp Stéphane Gaïffas 100 20 0 13 Dec 2011
Joint variable and rank selection for parsimonious estimation of high-dimensional matrices F. Bunea Yiyuan She M. Wegkamp 97 112 0 17 Oct 2011
A Model of Inductive Bias Learning Jonathan Baxter 106 1,213 0 01 Jun 2011
Scaled Sparse Linear Regression Tingni Sun Cun-Hui Zhang 180 507 0 24 Apr 2011
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions Alekh Agarwal S. Negahban Martin J. Wainwright 225 433 0 23 Feb 2011
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction Rina Foygel Nathan Srebro 99 74 0 18 Feb 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 471 1,379 0 13 Oct 2010
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming A. Belloni Victor Chernozhukov Lie Wang 170 674 0 28 Sep 2010
Low rank Multivariate regression Christophe Giraud 154 42 0 27 Sep 2010
Union Support Recovery in Multi-task Learning Mladen Kolar John D. Lafferty Larry A. Wasserman 184 60 0 31 Aug 2010
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 280 382 0 11 Jul 2010
Smoothing proximal gradient method for general structured sparse regression Xinyu Chen Qihang Lin Seyoung Kim J. Carbonell Eric Xing 152 233 0 26 May 2010
Optimal selection of reduced rank estimators of high-dimensional matrices F. Bunea Yiyuan She M. Wegkamp 231 241 0 18 Apr 2010
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm Ruslan Salakhutdinov Nathan Srebro 152 235 0 14 Feb 2010
Estimation of high-dimensional low-rank matrices Angelika Rohde Alexandre B. Tsybakov 256 382 0 29 Dec 2009
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S. Negahban Martin J. Wainwright 232 570 0 27 Dec 2009
Dimension reduction and variable selection in case control studies via regularized likelihood optimization F. Bunea Adrian Barbu 99 21 0 13 May 2009
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 532 2,530 0 07 Jan 2008