Rank-one Convexification for Sparse Regression

29 January 2019

Papers citing "Rank-one Convexification for Sparse Regression"

8 / 8 papers shown

Title
Constrained Optimization of Rank-One Functions with Indicator Variables Soroosh Shafieezadeh-Abadeh Fatma Kılınç Karzan 21 4 0 31 Mar 2023
Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part I: Definitions & Basic Properties Ramtin Madani Mersedeh Ashraphijuo Mohsen Kheirandishfard Alper Atamtürk 26 1 0 07 Aug 2022
Supermodularity and valid inequalities for quadratic optimization with indicators Alper Atamtürk A. Gómez 31 21 0 29 Dec 2020
$Safe Screening Rules for $\ell_0$-Regression$ Safe Screening Rules for $\ell_0$ -Regression Alper Atamturk A. Gómez 24 23 0 19 Apr 2020
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization Hussein Hazimeh Rahul Mazumder A. Saab 95 88 0 13 Apr 2020
A unified approach to mixed-integer optimization problems with logical constraints Dimitris Bertsimas Ryan Cory-Wright J. Pauphilet 29 41 0 03 Jul 2019
Optimization Problems for Machine Learning: A Survey Claudio Gambella Bissan Ghaddar Joe Naoum-Sawaya AI4CE 37 178 0 16 Jan 2019
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low Rahul Mazumder P. Radchenko Antoine Dedieu 15 57 0 10 Aug 2017