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"

50 / 186 papers shown

Title
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models Beilun Wang Ritambhara Singh Yanjun Qi 24 12 0 11 May 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 35 387 0 25 Apr 2016
Minimax Optimal Procedures for Locally Private Estimation John C. Duchi Martin J. Wainwright Michael I. Jordan 23 427 0 08 Apr 2016
Unified View of Matrix Completion under General Structural Constraints Suriya Gunasekar A. Banerjee Joydeep Ghosh 22 11 0 29 Mar 2016
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 30 45 0 10 Feb 2016
Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A Unified Approach M. Ahsen M. Vidyasagar 22 35 0 29 Dec 2015
A data-dependent weighted LASSO under Poisson noise X. Hunt Patricia Reynaud-Bouret Vincent Rivoirard Laure Sansonnet Rebecca Willett 11 24 0 29 Sep 2015
Distributed Estimation and Inference with Statistical Guarantees Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu 29 83 0 17 Sep 2015
On the contraction properties of some high-dimensional quasi-posterior distributions Yves F. Atchadé 20 39 0 31 Aug 2015
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error Jianqing Fan Han Liu Qiang Sun Tong Zhang 32 115 0 03 Jul 2015
A Geometric View on Constrained M-Estimators Yen-Huan Li Ya-Ping Hsieh N. Zerbib V. Cevher 19 6 0 26 Jun 2015
Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence Mert Pilanci Martin J. Wainwright 24 268 0 09 May 2015
Selective inference with unknown variance via the square-root LASSO Xiaoying Tian Joshua R. Loftus Jonathan E. Taylor 43 38 0 29 Apr 2015
Communication-efficient sparse regression: a one-shot approach J. Lee Yuekai Sun Qiang Liu Jonathan E. Taylor 43 65 0 14 Mar 2015
Asymptotics of selective inference Xiaoying Tian Jonathan E. Taylor 29 68 0 15 Jan 2015
Statistical consistency and asymptotic normality for high-dimensional robust M-estimators Po-Ling Loh 37 193 0 01 Jan 2015
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 39 43 0 30 Dec 2014
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 34 46 0 23 Dec 2014
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 42 166 0 17 Dec 2014
Efficiently learning Ising models on arbitrary graphs Guy Bresler 39 201 0 22 Nov 2014
Group Regularized Estimation under Structural Hierarchy Yiyuan She Zhifeng Wang He Jiang 53 47 0 17 Nov 2014
$Sparsistency of $\ell_1$-Regularized $M$-Estimators$ Sparsistency of $\ell_1$ -Regularized $M$ -Estimators Yen-Huan Li Jonathan Scarlett Pradeep Ravikumar V. Cevher 49 21 0 28 Oct 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain Ambuj Tewari Purushottam Kar 13 228 0 20 Oct 2014
Optimal Inference After Model Selection William Fithian Dennis L. Sun Jonathan E. Taylor 39 331 0 09 Oct 2014
Robust Estimation of High-Dimensional Mean Regression Jianqing Fan Quefeng Li Yuyan Wang 31 30 0 08 Oct 2014
Individualized Rank Aggregation using Nuclear Norm Regularization Yu Lu S. Negahban 29 44 0 03 Oct 2014
Tight convex relaxations for sparse matrix factorization E. Richard G. Obozinski Jean-Philippe Vert 61 43 0 19 Jul 2014
Sparse Partially Linear Additive Models Yin Lou Jacob Bien R. Caruana J. Gehrke 38 56 0 17 Jul 2014
Better Feature Tracking Through Subspace Constraints Bryan Poling Gilad Lerman Arthur Szlam 34 13 0 09 May 2014
Randomized Sketches of Convex Programs with Sharp Guarantees Mert Pilanci Martin J. Wainwright 45 175 0 29 Apr 2014
The Degrees of Freedom of Partly Smooth Regularizers Samuel Vaiter Charles-Alban Deledalle M. Fadili Gabriel Peyré C. Dossal 97 49 0 22 Apr 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems T. Tony Cai Tengyuan Liang Alexander Rakhlin 51 27 0 17 Apr 2014
$Sparse K-Means with $\ell_{\infty}/\ell_0$ Penalty for High-Dimensional Data Clustering$ Sparse K-Means with $\ell_{\infty}/\ell_0$ Penalty for High-Dimensional Data Clustering Xiangyu Chang Yu Wang Rongjian Li Zongben Xu 42 17 0 31 Mar 2014
Worst possible sub-directions in high-dimensional models Sara van de Geer 48 11 0 27 Mar 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 70 185 0 26 Mar 2014
On the Sensitivity of the Lasso to the Number of Predictor Variables Cheryl J. Flynn Clifford M. Hurvich J. Simonoff 40 14 0 18 Mar 2014
Machine Learning Methods in the Computational Biology of Cancer M. Vidyasagar 42 37 0 24 Feb 2014
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression Yuchen Zhang Martin J. Wainwright Michael I. Jordan 23 130 0 09 Feb 2014
Dirichlet-Laplace priors for optimal shrinkage A. Bhattacharya D. Pati Natesh S. Pillai David B. Dunson 49 436 0 21 Jan 2014
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint Ji Liu R. Fujimaki Jieping Ye 40 45 0 31 Dec 2013
Sample Complexity of Dictionary Learning and other Matrix Factorizations Rémi Gribonval Rodolphe Jenatton Francis R. Bach M. Kleinsteuber Matthias Seibert 46 85 0 13 Dec 2013
An RKHS Approach to Estimation with Sparsity Constraints A. Jung 42 3 0 22 Nov 2013
Variable Selection in Causal Inference Using Penalization Ashkan Ertefaie M. Asgharian D. Stephens CML 39 2 0 06 Nov 2013
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model Mengjie Chen Zhao Ren Hongyu Zhao Harrison H. Zhou 35 59 0 23 Sep 2013
Sparse Signal Recovery under Poisson Statistics Delaram Motamedvaziri M. Rohban Venkatesh Saligrama 33 9 0 17 Jul 2013
Model Selection with Low Complexity Priors Samuel Vaiter Mohammad Golbabaee Jalal Fadili Gabriel Peyré 43 59 0 09 Jul 2013
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Zhaoran Wang Han Liu Tong Zhang 33 175 0 20 Jun 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 28 760 0 13 Jun 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 33 513 0 10 May 2013
Post-Selection Inference for Generalized Linear Models with Many Controls A. Belloni Victor Chernozhukov Ying Wei 48 187 0 15 Apr 2013