A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers

13 October 2010

Papers citing "A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers"

36 / 186 papers shown

Title
Convex Tensor Decomposition via Structured Schatten Norm Regularization Ryota Tomioka Taiji Suzuki 33 152 0 26 Mar 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 48 1,124 0 03 Mar 2013
Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates John C. Duchi Michael I. Jordan Martin J. Wainwright FedML 38 100 0 13 Feb 2013
Strong oracle optimality of folded concave penalized estimation Jianqing Fan Lingzhou Xue H. Zou 54 302 0 22 Oct 2012
Learning Model-Based Sparsity via Projected Gradient Descent S. Bahmani P. Boufounos Bhiksha Raj 39 18 0 07 Sep 2012
Scaling Multiple-Source Entity Resolution using Statistically Efficient Transfer Learning S. Negahban Benjamin I. P. Rubinstein J. Gemmell 50 14 0 09 Aug 2012
Structured Estimation in Nonparameteric Cox Model Jelena Bradic R. Song 69 10 0 18 Jul 2012
Quasi-Likelihood and/or Robust Estimation in High Dimensions Sara van de Geer P. Muller 74 27 0 28 Jun 2012
The Highest Dimensional Stochastic Blockmodel with a Regularized Estimator Karl Rohe Tai Qin Haoyang Fan 69 18 0 11 Jun 2012
Non-asymptotic Oracle Inequalities for the Lasso and Group Lasso in high dimensional logistic model Marius Kwemou 38 21 0 04 Jun 2012
The Lasso Problem and Uniqueness R. Tibshirani 38 546 0 01 Jun 2012
Convex Relaxation for Combinatorial Penalties G. Obozinski Francis R. Bach 59 62 0 06 May 2012
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 85 63 0 21 Apr 2012
Sparse Matrix Inversion with Scaled Lasso Tingni Sun Cun-Hui Zhang 66 166 0 13 Feb 2012
A Generic Path Algorithm for Regularized Statistical Estimation Hua Zhou Yichao Wu 45 27 0 17 Jan 2012
Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications Jian Huang Cun-Hui Zhang 56 61 0 29 Dec 2011
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 75 156 0 02 Dec 2011
Structured sparsity through convex optimization Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 82 323 0 12 Sep 2011
Orthogonal Matching Pursuit with Replacement Prateek Jain Ambuj Tewari Inderjit S. Dhillon 39 79 0 14 Jun 2011
Convex and Network Flow Optimization for Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 62 108 0 11 Apr 2011
Universal low-rank matrix recovery from Pauli measurements Yi-Kai Liu 57 127 0 14 Mar 2011
Group Lasso for high dimensional sparse quantile regression models Kengo Kato 76 49 0 08 Mar 2011
Shaping Level Sets with Submodular Functions Francis R. Bach 77 25 0 07 Dec 2010
Efficient L1/Lq Norm Regularization Jun Liu Jieping Ye 52 73 0 24 Sep 2010
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise S. Negahban Martin J. Wainwright 60 520 0 10 Sep 2010
Network Flow Algorithms for Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 52 173 0 31 Aug 2010
Sharp oracle inequalities for the prediction of a high-dimensional matrix Stéphane Gaïffas Guillaume Lecué 57 27 0 28 Aug 2010
Structured sparsity-inducing norms through submodular functions Francis R. Bach 65 194 0 25 Aug 2010
Estimation of high-dimensional low-rank matrices Angelika Rohde Alexandre B. Tsybakov 106 379 0 29 Dec 2009
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S. Negahban Martin J. Wainwright 79 566 0 27 Dec 2009
Structured Variable Selection with Sparsity-Inducing Norms Rodolphe Jenatton Jean-Yves Audibert Francis R. Bach 91 605 0 22 Apr 2009
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 185 292 0 09 Mar 2009
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 201 481 0 25 Jun 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 196 749 0 04 Apr 2008
Time Varying Undirected Graphs Shuheng Zhou John D. Lafferty Larry A. Wasserman 119 240 0 20 Feb 2008
The log-linear group-lasso estimator and its asymptotic properties Yuval Nardi Alessandro Rinaldo 100 26 0 21 Sep 2007