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The LASSO with Non-linear Measurements is Equivalent to One With Linear
  Measurements

The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements

6 June 2015
Christos Thrampoulidis
Ehsan Abbasi
B. Hassibi
ArXivPDFHTML

Papers citing "The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements"

13 / 13 papers shown
Title
Moment-Based Adjustments of Statistical Inference in High-Dimensional
  Generalized Linear Models
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models
Kazuma Sawaya
Yoshimasa Uematsu
Masaaki Imaizumi
29
2
0
28 May 2023
Misspecified Phase Retrieval with Generative Priors
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
38
4
0
11 Oct 2022
On Model Selection Consistency of Lasso for High-Dimensional Ising
  Models
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
Xiangming Meng
T. Obuchi
Y. Kabashima
23
1
0
16 Oct 2021
Label-Imbalanced and Group-Sensitive Classification under
  Overparameterization
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
27
93
0
02 Mar 2021
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A
  Statistical Mechanics Analysis
Ising Model Selection Using ℓ1\ell_{1}ℓ1​-Regularized Linear Regression: A Statistical Mechanics Analysis
Xiangming Meng
T. Obuchi
Y. Kabashima
26
4
0
08 Feb 2021
A Precise High-Dimensional Asymptotic Theory for Boosting and
  Minimum-$\ell_1$-Norm Interpolated Classifiers
A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-ℓ1\ell_1ℓ1​-Norm Interpolated Classifiers
Tengyuan Liang
Pragya Sur
30
68
0
05 Feb 2020
De-biasing convex regularized estimators and interval estimation in
  linear models
De-biasing convex regularized estimators and interval estimation in linear models
Pierre C. Bellec
Cun-Hui Zhang
24
20
0
26 Dec 2019
A Model of Double Descent for High-dimensional Binary Linear
  Classification
A Model of Double Descent for High-dimensional Binary Linear Classification
Zeyu Deng
A. Kammoun
Christos Thrampoulidis
29
143
0
13 Nov 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity
High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
16
21
0
16 Oct 2018
Linearized Binary Regression
Linearized Binary Regression
Andrew S. Lan
M. Chiang
Christoph Studer
21
10
0
01 Feb 2018
Lifting high-dimensional nonlinear models with Gaussian regressors
Lifting high-dimensional nonlinear models with Gaussian regressors
Christos Thrampoulidis
A. S. Rawat
8
8
0
11 Dec 2017
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations
Mohammadreza Soltani
C. Hegde
19
29
0
03 Aug 2016
High-Dimensional Estimation of Structured Signals from Non-Linear
  Observations with General Convex Loss Functions
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions
Martin Genzel
8
45
0
10 Feb 2016
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