v1v2v3 (latest)

Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data

11 April 2020

Papers citing "Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data"

29 / 29 papers shown

Title
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models Xiaorui Zhu Yi Qin Peng Wang 58 0 0 14 Jul 2023
Sharp Concentration Results for Heavy-Tailed Distributions Milad Bakhshizadeh A. Maleki Víctor Pena 53 23 0 30 Mar 2020
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications Halyun Jeong Xiaowei Li Y. Plan Özgür Yilmaz 59 18 0 28 Jan 2020
Quickly Finding the Best Linear Model in High Dimensions Yahya Sattar Samet Oymak 57 8 0 03 Jul 2019
Fundamental Barriers to High-Dimensional Regression with Convex Penalties Michael Celentano Andrea Montanari 75 47 0 25 Mar 2019
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization Christos Thrampoulidis A. S. Rawat MQ 65 30 0 18 Jul 2018
Structured Recovery with Heavy-tailed Measurements: A Thresholding Procedure and Optimal Rates Xiaohan Wei 63 11 0 16 Apr 2018
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression Arun K. Kuchibhotla Abhishek Chakrabortty 64 108 0 08 Apr 2018
Learning Compact Neural Networks with Regularization Samet Oymak MLT 83 39 0 05 Feb 2018
Lifting high-dimensional nonlinear models with Gaussian regressors Christos Thrampoulidis A. S. Rawat 46 8 0 11 Dec 2017
On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models Zhuoran Yang Krishnakumar Balasubramanian Han Liu 30 15 0 26 Sep 2017
Convergence rates of least squares regression estimators with heavy-tailed errors Q. Han J. Wellner 71 46 0 07 Jun 2017
Fast and Reliable Parameter Estimation from Nonlinear Observations Samet Oymak Mahdi Soltanolkotabi 196 25 0 23 Oct 2016
Structured signal recovery from non-linear and heavy-tailed measurements L. Goldstein Stanislav Minsker Xiaohan Wei 76 46 0 05 Sep 2016
Regularization and the small-ball method II: complexity dependent error rates Guillaume Lecué S. Mendelson 65 39 0 27 Aug 2016
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 425 45 0 10 Feb 2016
Regularization and the small-ball method I: sparse recovery Guillaume Lecué S. Mendelson 52 93 0 21 Jan 2016
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference Zhuoran Yang Zhaoran Wang Han Liu Yonina C. Eldar Tong Zhang 88 43 0 14 Nov 2015
Sharp Time--Data Tradeoffs for Linear Inverse Problems Samet Oymak Benjamin Recht Mahdi Soltanolkotabi 75 89 0 16 Jul 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements Christos Thrampoulidis Ehsan Abbasi B. Hassibi 102 117 0 06 Jun 2015
The generalized Lasso with non-linear observations Y. Plan Roman Vershynin 192 200 0 13 Feb 2015
Learning without Concentration for General Loss Functions S. Mendelson 171 65 0 13 Oct 2014
Convex recovery of a structured signal from independent random linear measurements J. Tropp 115 177 0 05 May 2014
Randomized Sketches of Convex Programs with Sharp Guarantees Mert Pilanci Martin J. Wainwright 370 177 0 29 Apr 2014
High-dimensional estimation with geometric constraints Y. Plan Roman Vershynin E. Yudovina 171 144 0 14 Apr 2014
Sparse recovery under weak moment assumptions Guillaume Lecué S. Mendelson 210 98 0 09 Jan 2014
Learning without Concentration S. Mendelson 231 334 0 01 Jan 2014
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 211 1,341 0 03 Dec 2010
The solution path of the generalized lasso Robert Tibshirani Jonathan E. Taylor 226 866 0 11 May 2010