The generalized Lasso with non-linear observations

13 February 2015

Roman Vershynin

Papers citing "The generalized Lasso with non-linear observations"

37 / 37 papers shown

Title
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 34 6 0 25 Sep 2023
Quantized Low-Rank Multivariate Regression with Random Dithering Junren Chen Yueqi Wang Michael Kwok-Po Ng 31 4 0 22 Feb 2023
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression Bhavya Agrawalla Krishnakumar Balasubramanian Promit Ghosal 35 2 0 20 Feb 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 28 13 0 30 Dec 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 46 4 0 11 Oct 2022
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing Namiko Matsumoto A. Mazumdar MQ 36 10 0 07 Jul 2022
How many labelers do you have? A closer look at gold-standard labels Chen Cheng Hilal Asi John C. Duchi 29 6 0 24 Jun 2022
Functional linear and single-index models: A unified approach via Gaussian Stein identity Krishnakumar Balasubramanian Hans-Georg Müller Bharath K. Sriperumbudur 29 6 0 08 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 44 11 0 31 May 2022
Robust parameter estimation of regression model under weakened moment assumptions Kangqiang Li Songqiao Tang Lixin Zhang 31 0 0 08 Dec 2021
On Model Selection Consistency of Lasso for High-Dimensional Ising Models Xiangming Meng T. Obuchi Y. Kabashima 30 1 0 16 Oct 2021
Support Recovery in Universal One-bit Compressed Sensing A. Mazumdar S. Pal MQ 14 11 0 19 Jul 2021
A theory of capacity and sparse neural encoding Pierre Baldi Roman Vershynin 25 3 0 19 Feb 2021
$Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis$ Ising Model Selection Using $\ell_{1}$ -Regularized Linear Regression: A Statistical Mechanics Analysis Xiangming Meng T. Obuchi Y. Kabashima 33 4 0 08 Feb 2021
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 19 0 0 13 Oct 2020
Learning Deep ReLU Networks Is Fixed-Parameter Tractable Sitan Chen Adam R. Klivans Raghu Meka 22 36 0 28 Sep 2020
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations Martin Genzel A. Stollenwerk 19 6 0 19 Sep 2020
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 44 145 0 13 Nov 2019
On the convex geometry of blind deconvolution and matrix completion Felix Krahmer Dominik Stöger 21 18 0 28 Feb 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity Sen Na Zhuoran Yang Zhaoran Wang Mladen Kolar 29 21 0 16 Oct 2018
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization Christos Thrampoulidis A. S. Rawat MQ 24 30 0 18 Jul 2018
Robust Gradient Descent via Moment Encoding with LDPC Codes R. Maity A. S. Rawat A. Mazumdar 19 41 0 22 May 2018
Structured Recovery with Heavy-tailed Measurements: A Thresholding Procedure and Optimal Rates Xiaohan Wei 20 11 0 16 Apr 2018
Robust 1-Bit Compressed Sensing via Hinge Loss Minimization Martin Genzel A. Stollenwerk 19 5 0 13 Apr 2018
Misspecified Nonconvex Statistical Optimization for Phase Retrieval Zhuoran Yang Lin F. Yang Ethan X. Fang T. Zhao Zhaoran Wang Matey Neykov 16 15 0 18 Dec 2017
Lifting high-dimensional nonlinear models with Gaussian regressors Christos Thrampoulidis A. S. Rawat 21 8 0 11 Dec 2017
Linear Regression with Sparsely Permuted Data M. Slawski E. Ben-David 38 71 0 16 Oct 2017
Localized Gaussian width of $M$ -convex hulls with applications to Lasso and convex aggregation Pierre C. Bellec 21 17 0 30 May 2017
Sparse Sliced Inverse Regression Via Lasso Q. Lin Zhigen Zhao Jun S. Liu 59 81 0 21 Nov 2016
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 30 45 0 10 Feb 2016
Precise Error Analysis of Regularized M-estimators in High-dimensions Christos Thrampoulidis Ehsan Abbasi B. Hassibi 24 218 0 23 Jan 2016
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference Zhuoran Yang Zhaoran Wang Han Liu Yonina C. Eldar Tong Zhang 8 43 0 14 Nov 2015
$Non-asymptotic Analysis of $\ell_1$-norm Support Vector Machines$ Non-asymptotic Analysis of $\ell_1$ -norm Support Vector Machines A. Kolleck J. Vybíral 25 5 0 27 Sep 2015
A Geometric View on Constrained M-Estimators Yen-Huan Li Ya-Ping Hsieh N. Zerbib V. Cevher 19 6 0 26 Jun 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements Christos Thrampoulidis Ehsan Abbasi B. Hassibi 33 116 0 06 Jun 2015
Learning without Concentration S. Mendelson 92 333 0 01 Jan 2014
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 136 216 0 02 Jan 2008