High dimensional regression and matrix estimation without tuning parameters

25 October 2015

Papers citing "High dimensional regression and matrix estimation without tuning parameters"

24 / 24 papers shown

Title
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 420 146 0 29 Mar 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 141 42 0 23 Feb 2015
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees M. Chichignoud Johannes Lederer Martin J. Wainwright 62 13 0 01 Oct 2014
Controlling the false discovery rate via knockoffs Rina Foygel Barber Emmanuel J. Candès 221 751 0 22 Apr 2014
A new perspective on least squares under convex constraint S. Chatterjee 114 117 0 04 Feb 2014
Risk-consistency of cross-validation with lasso-type procedures D. Homrighausen D. McDonald 108 23 0 04 Aug 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 240 768 0 13 Jun 2013
Corrupted Sensing: Novel Guarantees for Separating Structured Signals Rina Foygel Lester W. Mackey 93 117 0 11 May 2013
Matrix estimation by Universal Singular Value Thresholding S. Chatterjee 422 528 0 06 Dec 2012
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators Emmanuel J. Candes Carlos A. Sing Long J. Trzasko 94 221 0 15 Oct 2012
Leave-one-out cross-validation is risk consistent for lasso D. Homrighausen D. McDonald 90 43 0 26 Jun 2012
Degrees of freedom in lasso problems Robert Tibshirani Jonathan E. Taylor 110 364 0 02 Nov 2011
Sparse Estimation by Exponential Weighting Philippe Rigollet Alexandre B. Tsybakov 167 121 0 25 Aug 2011
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 208 1,340 0 03 Dec 2010
Nuclear norm penalization and optimal rates for noisy low rank matrix completion V. Koltchinskii Alexandre B. Tsybakov Karim Lounici 226 663 0 29 Nov 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 474 1,379 0 13 Oct 2010
$Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls$ Minimax rates of estimation for high-dimensional linear regression over $\ell_q$ -balls Garvesh Raskutti Martin J. Wainwright Bin Yu 220 575 0 11 Oct 2009
On the conditions used to prove oracle results for the Lasso Sara van de Geer Peter Buhlmann 272 732 0 05 Oct 2009
Matrix Completion from Noisy Entries Raghunandan H. Keshavan Andrea Montanari Sewoong Oh 265 719 0 11 Jun 2009
Matrix Completion from a Few Entries Raghunandan H. Keshavan Andrea Montanari Sewoong Oh 426 1,246 0 20 Jan 2009
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 122 441 0 13 Nov 2008
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 469 869 0 07 Aug 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 627 756 0 04 Apr 2008
High-dimensional variable selection Larry Wasserman Kathryn Roeder 582 582 0 09 Apr 2007