Robust 1-bit compressed sensing and sparse logistic regression: A convex
programming approach

Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach

6 February 2012

Roman Vershynin

Papers citing "Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach"

10 / 10 papers shown

Title
One-bit Compressed Sensing using Generative Models Swatantra Kafle Geethu Joseph P. Varshney DiffM GAN 95 6 0 18 Feb 2025
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression Bhavya Agrawalla Krishnakumar Balasubramanian Promit Ghosal 49 2 0 20 Feb 2023
Fast and Reliable Parameter Estimation from Nonlinear Observations Samet Oymak Mahdi Soltanolkotabi 124 25 0 23 Oct 2016
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 207 45 0 10 Feb 2016
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 274 1,377 0 13 Oct 2010
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 196 957 0 02 Oct 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity Sham Kakade Ohad Shamir Karthik Sindharan Ambuj Tewari 177 77 0 31 Oct 2009
Self-concordant analysis for logistic regression Francis R. Bach 143 208 0 24 Oct 2009
$Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization$ Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization F. Bunea 186 147 0 29 Aug 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 404 755 0 04 Apr 2008