High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions

10 February 2016

Papers citing "High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions"

9 / 9 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 32 6 0 25 Sep 2023
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 Xiangming Meng T. Obuchi Y. Kabashima 30 1 0 16 Oct 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
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 34 144 0 13 Nov 2019
Lifting high-dimensional nonlinear models with Gaussian regressors Christos Thrampoulidis A. S. Rawat 13 8 0 11 Dec 2017
Learning without Concentration for General Loss Functions S. Mendelson 60 65 0 13 Oct 2014
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014